Zeliha Cengiz’s | Health Professions | Best Researcher Award

Mrs. Zeliha Cengiz’s | Health Professions | Best Researcher Award

Associate Professor at Inonu University, Turkey

Mrs. Zeliha Cengiz is an accomplished nursing professional and academic with a strong focus on research and healthcare education. She currently serves as an Associate Professor at İnönü University’s Faculty of Nursing, where she has been part of the academic staff since 2013. With a Ph.D. in Nursing from İnönü University, her doctoral research explored the impact of patient education on rational drug use in haemodialysis patients. Mrs. Cengiz’s expertise spans various areas of nursing, from practical experience as an operating theatre nurse to her current focus on research related to patient care, healthcare worker experiences, and chronic disease management. She has published extensively in peer-reviewed journals, contributing valuable insights into nursing education, patient empowerment, and innovative healthcare interventions. Fluent in Turkish and proficient in English, Mrs. Cengiz remains dedicated to advancing nursing practices and improving patient outcomes through her work in both academia and clinical research.

Profile

Education

Mrs. Zeliha Cengiz has a comprehensive educational background in nursing, which laid the foundation for her extensive research and academic career. She earned her Ph.D. from İnönü University’s Institute of Health Sciences in 2007, with her thesis titled “The Effect of the Training Given to Hemodialysis Patients in Line with the Health Belief Model on Rational Drug Use,” focusing on improving patient education and outcomes. Prior to this, she completed her Master’s degree at the same institution, where her thesis compared the abdominal and deltoid regions in terms of pain, hematoma, and ecchymosis development in patients using subcutaneous heparin. Mrs. Cengiz also holds a Bachelor’s degree in Nursing from İnönü University’s Malatya High School of Health. Her academic journey demonstrates a strong commitment to advancing knowledge and practice in the field of nursing.

Professional Experience

Mrs. Zeliha Cengiz has an extensive professional background in both clinical and academic settings. Since 2013, she has been a key member of the academic staff at İnönü University Faculty of Nursing, progressing from a Research Assistant to an Assistant Professor, and currently serving as an Associate Professor. Her academic role involves teaching, mentoring, and conducting research that addresses critical areas of nursing care and healthcare education. Prior to her academic career, Mrs. Cengiz gained valuable clinical experience as a Nurse at Turgut Özal Medical Center from 2011 to 2013, where she worked in the operating theatre. Her combined experience in clinical nursing and academia enables her to bridge the gap between theory and practice, making significant contributions to the nursing profession.

Research Interest

Mrs. Zeliha Cengiz’s research interests are centered around improving patient care and nursing practices, with a particular focus on chronic disease management, healthcare education, and evidence-based interventions. She has conducted extensive research on the effects of various interventions on patient outcomes, including the use of abdominal massage and range of motion exercises to address gastrointestinal complications in ICU patients, and the role of aromatherapy in managing symptoms in COVID-19 patients. Mrs. Cengiz is also deeply involved in studying patient empowerment, the self-management of chronic diseases, and the ethical challenges nurses face, especially in high-stress environments like intensive care units. Her work contributes to advancing nursing education, improving patient well-being, and fostering a more compassionate healthcare environment.

Research Skills

Mrs. Zeliha Cengiz possesses a diverse array of research skills that enhance her contributions to the field of nursing and healthcare. Her expertise includes designing and conducting randomized controlled trials, such as her investigation into the health belief model’s impact on drug rationality for hemodialysis patients. She is adept at employing qualitative and quantitative research methodologies to evaluate the effectiveness of nursing interventions, including pain management strategies and self-management support for chronic diseases. Mrs. Cengiz demonstrates strong analytical skills in interpreting data from her studies, contributing to evidence-based practices that improve patient outcomes. Additionally, she is skilled in high-fidelity simulation techniques, which she utilizes to develop nursing students’ self-efficacy and problem-solving abilities. Her commitment to advancing nursing knowledge and practice is evident through her extensive publication record and active engagement in research initiatives.

Award and Recognition

Mrs. Zeliha Cengiz has received notable recognition for her contributions to nursing and healthcare research. Her work has been acknowledged through various awards, highlighting her commitment to improving patient care and advancing nursing education. Notably, her research on the health belief model and rational drug use in hemodialysis patients has garnered attention for its innovative approach and clinical relevance. Additionally, Mrs. Cengiz has been celebrated for her publications in esteemed journals, reflecting her influence in the field. Her dedication to excellence in nursing practice and education has positioned her as a respected figure among her peers, earning her accolades that recognize her impactful work in addressing pressing healthcare challenges.

Conclusion

Mrs. Zeliha Cengiz’s diverse body of work, spanning patient care, nursing education, and healthcare worker safety, makes her an outstanding candidate for the Best Researcher Award. Her research has had a meaningful impact on improving healthcare practices, patient outcomes, and the development of future nursing professionals.

Publication Top Notes

  • “Challenges experienced by nursing students during the COVID‐19 pandemic”
    • Journal: Perspectives in Psychiatric Care
    • Cited by: 50
    • Year: 2022
    • Volume: 58, Issue 1
    • Pages: 47
  • “Care burden and quality of life in family caregivers of palliative care patients”
    • Journal: Journal of Social Work in End-of-Life & Palliative Care
    • Cited by: 41
    • Year: 2021
    • Volume: 17, Issue 1
    • Pages: 50-63
  • “Behaviours and experiences of nurses during the COVID‐19 pandemic in Turkey: A mixed methods study”
    • Journal: Journal of Nursing Management
    • Cited by: 38
    • Year: 2021
    • Volume: 29, Issue 7
    • Pages: 2002-2013
  • “The effect of sociodemographic characteristics of university students on emotional eating behavior”
    • Journal: Perspectives in Psychiatric Care
    • Cited by: 26
    • Year: 2021
    • Volume: 57, Issue 1
  • “Hemşirelik öğrencilerinin ilk klinik stres düzeyleri ve etkileyen faktörler”
    • Journal: Annals of Health Sciences Research
    • Cited by: 23
    • Year: 2016
    • Volume: 5, Issue 1
    • Pages: 10-15
  • “The first clinical stress level of the nursing students and the factors affecting”
    • Journal: İnönü Üniversitesi Sağlık Bilimleri Dergisi
    • Cited by: 14
    • Year: 2016
    • Volume: 5, Issue 1
    • Pages: 10-15
  • “Comparison of cold spray and shotblocker to reduce intramuscular injection pain: A randomized controlled trial”
    • Journal: Journal of Clinical Pharmacy and Therapeutics
    • Cited by: 13
    • Year: 2022
    • Volume: 47, Issue 8
    • Pages: 1249-1256
  • “Use of complementary medicine among people with diabetes in eastern Turkey: A descriptive study”
    • Journal: Complementary Therapies in Clinical Practice
    • Cited by: 13
    • Year: 2019
    • Volume: 36
    • Pages: 120-124
  • “Effects of progressive relaxation exercises on vital signs and fatigue in liver transplant patients: A randomized controlled trial”
    • Journal: Clinical Nursing Research
    • Cited by: 11
    • Year: 2022
    • Volume: 31, Issue 3
    • Pages: 497-508
  • “The relationship between self-care agency and depression in older adults and influencing factors”
    • Journal: Journal of Psychosocial Nursing and Mental Health Services
    • Cited by: 9
    • Year: 2020
    • Volume: 58, Issue 10
    • Pages: 39-47
  • “Comparison of abdominal and arm areas in patients receiving subcutaneous heparin in terms of development of pain, hematoma, and ecchymosis”
    • Journal: Journal of Vascular Nursing
    • Cited by: 9
    • Year: 2018
    • Volume: 36, Issue 4
    • Pages: 208-215
  • “Hemodiyaliz hastalarına sağlık inanç modeli doğrultusunda verilen eğitimin akılcı ilaç kullanımı üzerine etkisi”
    • Doctoral Thesis: Malatya
    • Cited by: 9
    • Year: 2018

 

Hyun-Soo Choi | Medical Domain | Best Researcher Award

Prof Dr. Hyun-Soo Choi | Medical Domain | Best Researcher Award

Assistant Professor at Seoul National University of Science and Technology, South Korea

Dr. Hyun-Soo Choi is an Assistant Professor in the Department of Computer Science and Engineering at Seoul National University of Science and Technology. He holds a Ph.D. in Electrical and Computer Engineering from Seoul National University. His research focuses on artificial intelligence, machine learning, deep learning, biomedical data learning, and causal inference. With significant contributions to the field, Dr. Choi has published extensively in renowned journals, including IEEE Transactions on Neural Networks and Learning Systems and the Journal of Clinical Medicine. His work on deep learning-based medical diagnostics and imbalanced data classification has garnered attention for its innovative approaches and practical applications. In addition to his academic role, he serves as the Chief Technical Officer at Ziovision and has previously worked as a researcher at SK Telecom. Dr. Choi has received accolades such as the Annual Excellence Award from Seoul National University, recognizing his impactful research and academic achievements.

Profile

Dr. Hyun-Soo Choi’s educational journey is marked by distinguished achievements and a solid foundation in engineering and computer science. He earned his Bachelor of Science degree in Computer and Communication Engineering from Korea University in February 2013, where he developed a strong base in computing principles. He then pursued advanced studies at Seoul National University, completing his Ph.D. in Electrical and Computer Engineering in February 2020. During his doctoral studies, he was supervised by Prof. Sungroh Yoon and focused on “Imbalanced Data Learning: Advances in Techniques and Applications,” contributing significant advancements to the field of artificial intelligence and machine learning. This academic background not only reflects his expertise in data analysis and bio-medical data learning but also highlights his commitment to advancing knowledge through innovative research.

Professional Experience

Dr. Hyun-Soo Choi has accumulated a diverse range of professional experiences across academia and industry. Currently, he serves as an Assistant Professor in the Department of Computer Science and Engineering at Seoul National University of Science and Technology since February 2023. In this role, he teaches advanced courses in programming, natural language processing, and deep learning. Concurrently, Dr. Choi is the Chief Technical Officer at Ziovision, overseeing technological innovations and developments since October 2021. Previously, he was an Assistant Professor at Kangwon National University from March 2021 to February 2023, where he contributed to various courses on data analysis and machine learning. Dr. Choi also has experience as a researcher at SK Telecom’s T-brain, focusing on advanced artificial intelligence applications from February 2020 to February 2021. His academic background includes a Ph.D. from Seoul National University, where he was mentored by Prof. Sungroh Yoon.

 Research Interest

Dr. Hyun-Soo Choi’s research focuses on advanced artificial intelligence (AI) and machine learning techniques, with a particular emphasis on deep learning, universal learning machines, and causal inference. His work addresses the challenges of bio-medical data learning, aiming to enhance the accuracy and efficiency of data-driven healthcare solutions. Dr. Choi’s research contributions include developing innovative algorithms for imbalanced data learning and applying deep learning methods to various medical fields, such as organ localization and ECG analysis. His recent projects explore novel approaches in facial fracture detection, drug monitoring, and real-time health monitoring, underscoring his commitment to translating AI advancements into practical medical applications. By integrating interdisciplinary methodologies, Dr. Choi strives to push the boundaries of AI research, improving diagnostic and predictive capabilities in healthcare and beyond.

 Research Skills

Dr. Hyun-Soo Choi exhibits a broad and advanced skill set in artificial intelligence and machine learning, particularly in deep learning, causal inference, and bio-medical data analysis. His expertise spans a range of research techniques, including the development of advanced algorithms for imbalanced data learning and generative adversarial networks (GANs). Dr. Choi is proficient in employing deep learning models for diverse applications, such as facial fracture detection, organ localization in wireless capsule endoscopy, and electrocardiography analysis. His ability to integrate machine learning methods with real-world medical data demonstrates a strong aptitude for translating complex theoretical models into practical solutions. Additionally, Dr. Choi’s experience with causal inference methods and universal learning machines highlights his skill in handling intricate data structures and extracting meaningful insights. His comprehensive understanding of these areas is evident through his numerous high-impact publications and contributions to cutting-edge research in his field.

Conclusion

Dr. Hyun-Soo Choi is a strong candidate for the “Research for Best Researcher Award” due to his prolific research output, interdisciplinary expertise, and leadership roles in both academia and industry. However, to further strengthen his application, it would be beneficial to highlight his success in securing research funding, previous awards or recognitions, mentorship activities, and the broader societal impact of his research. With these additions, Dr. Choi would present a well-rounded profile that exemplifies excellence in research and its application to solving real-world challenges.

 

Publications Top Notes

  • A Comprehensive Study on a Deep-Learning-Based Electrocardiography Analysis for Estimating the Apnea-Hypopnea Index
    • Authors: Kim, S., Choi, H.-S., Kim, D., … Kim, Y., Lee, W.H.
    • Year: 2024
  • A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness
    • Authors: Kim, D., Choi, H.-S., Lee, D., … Park, J.-H., Park, J.
    • Year: 2024
    • Citations: 1
  • Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study
    • Authors: Park, S.W., Yeo, N.Y., Kang, S., … Lim, C.-M., Heo, J.
    • Year: 2024
    • Citations: 2
  • Explicit Feature Interaction-Aware Graph Neural Network
    • Authors: Kim, M., Choi, H.-S., Kim, J.
    • Year: 2024
    • Citations: 1
  • In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables
    • Authors: Kim, M., Kim, T.-H., Kim, D., … Han, S.-S., Choi, H.-S.
    • Year: 2024
  • Improving Generalization Performance of Electrocardiogram Classification Models
    • Authors: Han, H., Park, S., Min, S., … Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 3
  • On the Impact of Knowledge Distillation for Model Interpretability
    • Authors: Han, H., Siwon, K., Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 1
  • Multi-View Computed Tomography Network for Osteoporosis Classification
    • Authors: Hwang, D.H., Bak, S.H., Ha, T.-J., … Kim, W.J., Choi, H.-S.
    • Year: 2023
    • Citations: 1
  • PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation
    • Authors: Jung, D., Bae, H., Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 3
  • ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records
    • Authors: Park, S., Bong, J.-W., Park, I., … Choi, H.-S., Kang, S.
    • Year: 2022
    • Citations: 1

 

Xianyang Liu | Medicine and Dentistry | Best Researcher Award

Dr. Xianyang Liu | Medicine and Dentistry | Best Researcher Award

Ph.D of Beijing institute of Ophalmology, China.

Dr. Xianyang Liu is a distinguished ophthalmology researcher affiliated with the Chongqing Eye Research Institute and the Beijing Eye Research Institute. Under the mentorship of the renowned uveitis expert Professor Shengping Hou, Dr. Liu has made significant contributions to the field, publishing over 10 SCI articles in prestigious journals like Cellular & Molecular Immunology and Advanced Science. His work, which includes high-impact research on retinal diseases and immune mechanisms, has earned him invitations to present at major international conferences, including the 2023 European Human Genetics Conference and the 2024 China Ophthalmology and Vision Conference. Dr. Liu’s accolades include the 2023 MCE China Breakthrough Award and recognition as Chongqing Outstanding Student. His expertise spans ophthalmology, immunology, and epigenetics, and his active participation in research projects and academic peer review highlights his commitment to advancing scientific knowledge and excellence in the field.

Profile
Education

Dr. Xianyang Liu, an ophthalmology specialist at the Chongqing Eye Research Institute and Beijing Eye Research Institute, has made significant strides in his field under the mentorship of Professor Shengping Hou. His research has been published in high-impact journals, including Cellular & Molecular Immunology, Advanced Science, and Arthritis & Rheumatology. Dr. Liu’s work, particularly in basic research and immunology, has garnered international recognition, highlighted by his presentations at the 2023 European Human Genetics Conference and the 2024 China Ophthalmology and Vision Conference. His contributions have earned him prestigious awards, such as the 2023 MCE China Breakthrough Award. Dr. Liu’s expertise spans ophthalmology, immunology, and epigenetics, and he has actively participated in various research projects and journal reviews. His career demonstrates a strong commitment to advancing scientific knowledge and a significant impact on his field.

Professional Experience

Dr. Xianyang Liu has a distinguished career in ophthalmology, shaped by his collaboration with the Chongqing Eye Research Institute and the Beijing Eye Research Institute. Under the mentorship of Professor Shengping Hou, a renowned uveitis expert, Dr. Liu has made significant strides in the field. His professional journey includes publishing over ten high-impact SCI articles in leading journals such as Cellular & Molecular Immunology, Advanced Science, and Arthritis & Rheumatology. Dr. Liu’s contributions have earned him invitations to present his research at prestigious international conferences, including the 2023 European Human Genetics Conference and the 2024 China Ophthalmology and Vision Conference. Recognized with multiple awards, such as the 2023 MCE China Breakthrough Award, Dr. Liu has demonstrated his expertise in ophthalmology, immunology, and epigenetics. His role as a reviewer for academic journals further underscores his influence and commitment to advancing scientific knowledge.

Research Interest

Dr. Xianyang Liu’s research interests lie at the intersection of ophthalmology and immunology, with a focus on understanding the molecular mechanisms underlying ocular diseases. His work explores the pathogenesis of uveitis and other retinal conditions through the lens of immune responses and genetic factors. Dr. Liu investigates the role of specific genes and molecular pathways in these diseases, utilizing advanced techniques such as whole-exome sequencing and inflammasome activation studies. His research also delves into epigenetic modifications and their impact on retinal inflammation and neovascularization. By integrating digital medicine and experimental animal models, Dr. Liu aims to uncover novel therapeutic targets and enhance disease management strategies. His contributions are driven by a commitment to advancing knowledge in ophthalmic immunology and improving clinical outcomes for patients with retinal disorders.

Research Skills

Dr. Xianyang Liu possesses a robust set of research skills, underscored by his extensive work in ophthalmology, immunology, and epigenetics. His expertise includes a deep understanding of experimental methodologies and digital medicine, enabling him to conduct high-impact research with significant clinical implications. Proficient in advanced experimental techniques, he excels in the use of complex immunological and genetic assays, contributing to influential studies published in prestigious journals. Dr. Liu’s experience extends to reviewing for top academic journals, reflecting his critical insight into research quality and academic rigor. His ability to integrate basic research with practical applications showcases his versatility and depth of knowledge. Additionally, Dr. Liu’s collaborative skills, demonstrated through multi-author publications, and his involvement in diverse research projects highlight his capacity to work effectively within multidisciplinary teams. Overall, his research skills are marked by precision, innovation, and a commitment to advancing scientific understanding in his field.

 Awards and Recognition

Dr. Xianyang Liu has earned significant accolades and recognition for his contributions to ophthalmology and immunology. In 2023, he was honored with the MCE China Breakthrough Award, a testament to his groundbreaking research. Additionally, he has received prestigious accolades such as the Chongqing Outstanding Student Award, Chongqing Medical University Outstanding Student Award, and the Graduate Science and Technology Innovation Award. His excellence is further highlighted by his invitations to present at renowned conferences, including the 2023 European Human Genetics Conference in Paris and the 2024 China Ophthalmology and Vision Conference, where he was financially supported for his presentation. These awards and recognitions underscore Dr. Liu’s commitment to advancing scientific knowledge and his exceptional contributions to the field of ophthalmology.

Conclusion

Dr. Xianyang Liu is a highly qualified candidate for the Best Researcher Award. His specialization in ophthalmology, substantial publication record in high-impact journals, international recognition, and multiple awards underline his excellence and innovation in research. While there are areas for improvement, such as increasing the broader impact of his work and demonstrating more leadership in research projects, Dr. Liu’s achievements make him a strong contender for this award.

Publications Top Notes

  1. “Icariin alleviates oxygen-induced retinopathy by targeting microglia hexokinase 2”
    • Authors: Li, X., Wang, G., Li, N., Zhou, Q., Hou, S.
    • Journal: Immunology
    • Year: 2024
    • Volume: 173(1)
    • Pages: 141–151
  2. “Autophagy-mediated activation of the AIM2 inflammasome enhances M1 polarization of microglia and exacerbates retinal neovascularization”
    • Authors: Liu, X., Zhou, Q., Meng, J., Mao, L., Hou, S.
    • Journal: MedComm
    • Year: 2024
    • Volume: 5(8)
    • Article Number: e668
  3. “OR11H1 Missense Variant Confers the Susceptibility to Vogt‒Koyanagi‒Harada Disease by Mediating Gadd45g Expression”
    • Authors: Li, X., Wang, G., Wang, X., Yang, P., Hou, S.
    • Journal: Advanced Science
    • Year: 2024
    • Volume: 11(11)
    • Article Number: 2306563
  4. “A de novo missense mutation in MPP2 confers an increased risk of Vogt–Koyanagi–Harada disease as shown by trio-based whole-exome sequencing”
    • Authors: Liu, X., Meng, J., Liao, X., Yang, P., Hou, S.
    • Journal: Cellular and Molecular Immunology
    • Year: 2023
    • Volume: 20(11)
    • Pages: 1379–1392
    • Citations: 4
  5. “Integrative Single-Cell Transcriptomics and Epigenomics Mapping of the Fetal Retina Developmental Dynamics”
    • Authors: Li, R., Liu, J., Yi, P., Yang, P., Hou, S.
    • Journal: Advanced Science
    • Year: 2023
    • Volume: 10(16)
    • Article Number: 2206623
    • Citations: 2
  6. “Apigenin Alleviates Autoimmune Uveitis by Inhibiting Microglia M1 Pro-Inflammatory Polarization”
    • Authors: Shu, N., Zhang, Z., Wang, X., Zhang, L., Hou, S.
    • Journal: Investigative Ophthalmology and Visual Science
    • Year: 2023
    • Volume: 64(5)
    • Article Number: 21
    • Citations: 8
  7. “NLRP3 Attenuates Intraocular Inflammation by Inhibiting AIM2-Mediated Pyroptosis Through the Phosphorylated Salt-Inducible Kinase 1/Sterol Regulatory Element Binding Transcription Factor 1 Pathway”
    • Authors: Meng, J., Li, N., Liu, X., Yang, P., Hou, S.
    • Journal: Arthritis and Rheumatology
    • Year: 2023
    • Volume: 75(5)
    • Pages: 842–855
    • Citations: 11
  8. “N6-methyladenosine demethylase FTO regulates inflammatory cytokine secretion and tight junctions in retinal pigment epithelium cells”
    • Authors: Tang, S., Meng, J., Tan, J., Li, N., Hou, S.
    • Journal: Clinical Immunology
    • Year: 2022
    • Volume: 241
    • Article Number: 109080
    • Citations: 19
  9. “METTL3 inhibits inflammation of retinal pigment epithelium cells by regulating NR2F1 in an m6A-dependent manner”
    • Authors: Meng, J., Liu, X., Tang, S., Li, N., Hou, S.
    • Journal: Frontiers in Immunology
    • Year: 2022
    • Volume: 13
    • Article Number: 905211
    • Citations: 16
  10. “LGALS3BP in Microglia Promotes Retinal Angiogenesis through PI3K/AKT Pathway during Hypoxia”
    • Authors: Zhao, C., Liu, Y., Meng, J., Li, N., Hou, S.
    • Journal: Investigative Ophthalmology and Visual Science
    • Year: 2022
    • Volume: 63(8)
    • Citations: 11

 

Marie Skaalum Bloch | Medical Field Award | Best Researcher Award

Mrs. Marie Skaalum Bloch | Medical Field Award | Best Researcher Award

Master in Psychology at Psychologist Marie Skaalum Bloch, Denmark.

Marie Bloch is a dedicated and skilled psychologist with a strong background in psychotherapy, supervision, and training. She owns her own business, providing a range of mental health services since 2015. With experience as the Head of a department at a psychiatric clinic, she has demonstrated leadership and management skills, optimizing care and implementing best practices. Her work at the Center for Mentalization highlights her commitment to training and supervision, particularly in mentalization. Marie’s professional journey showcases her expertise in providing quality mental health care and her passion for advancing the field through research and training.

Professional Profiles:

Education:

Marie Skaalum Bloch completed her Master’s in Psychology at Aalborg University from 2007 to 2012. In November 2015, she received authorization as a psychologist from the Board of Psychology. In January 2019, she was approved as a specialist in psychodynamic psychotherapy by the Board of Psychology. Following this, in October 2019, she was approved as a specialist in psychotherapy by the Danish psychiatric department. In January 2021, she received approval as a supervisor from the Board of Psychology. Concurrently, in January 2021, she was also approved as an MBT (Mentalization-Based Treatment) supervisor and trainer by the Institute of Mentalization. Throughout her career, Marie Skaalum Bloch has demonstrated a commitment to advancing her expertise in psychology and psychotherapy, gaining recognition for her specialized skills and qualifications.

Experience:

Since 2015, psychologist Marie Bloch has owned her own business, where she provides therapy, supervision, and training services. From January 1, 2022, to May 1, 2023, she worked at the Center for Mentalization as a supervisor and instructor, primarily focusing on training and supervising staff in mentalization. Prior to this, from April 1, 2014, to December 31, 2021, Marie worked at the Ambulatorium for Angst og Personlighedspsykiatri, Klinik Nord, Brønderslev, an outpatient psychiatric clinic specializing in treating patients with anxiety and personality disorders. From April 1, 2019, to December 31, 2021, she served as the Head of the department, where she was responsible for management, optimization, improvement, implementation, supervision, and training. Before assuming this role, from April 1, 2014, to March 31, 2019, she worked as a clinical psychologist in the clinic, focusing on assessment, treatment, supervision, research, and staff training. Marie’s diverse roles and responsibilities demonstrate her expertise and commitment to providing high-quality mental health services.

Skills:

Marie Bloch is a skilled psychologist with a wealth of experience in psychotherapy, supervision, and training. She owns her own business, offering therapy, supervision, and training services since 2015. Her professional journey includes serving as the Head of the department at the Ambulatorium for Angst og Personlighedspsykiatri, Klinik Nord, Brønderslev, from 2019 to 2021, where she managed, optimized, and implemented strategies to improve patient care. Prior to this, she worked as a clinical psychologist at the same clinic from 2014 to 2019, focusing on assessment, treatment, and staff training. Marie has also contributed significantly to the field of mental health through her role at the Center for Mentalization, where she supervised and instructed staff with a focus on mentalization. Her diverse experiences and commitment to professional development make her a valuable asset in the field of psychology.