Guanbo Wang | Medicine and Dentistry | Best Researcher Award

Dr. Guanbo Wang | Medicine and Dentistry | Best Researcher Award

Assistant Professor from The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, United States

Dr. Guanbo Wang is a distinguished postdoctoral research fellow at the CAUSALab, Harvard T.H. Chan School of Public Health. With a robust background in biostatistics and epidemiology, his work primarily focuses on developing innovative statistical methodologies to enhance causal inference in public health research. Dr. Wang’s expertise lies in integrating complex data sources to derive meaningful insights into treatment effects, particularly in the context of randomized clinical trials and observational studies. His interdisciplinary approach combines rigorous statistical theory with practical applications, aiming to inform clinical decision-making and health policy. Throughout his academic and professional journey, Dr. Wang has demonstrated a commitment to advancing public health through methodological innovation and collaborative research.

Professional Profile

Education

Dr. Wang’s academic journey commenced with a Bachelor of Science degree from China Textile University in Shanghai, China, in 1999. He pursued further studies at Shanghai Jiao Tong University, earning a Master of Science in 2002 and a Ph.D. in 2005. His doctoral research laid the foundation for his future endeavors in biostatistics and epidemiology. In 2019, Dr. Wang expanded his academic horizons as a visiting scholar at Harvard University, engaging with leading experts in the field. He culminated his formal education with a Ph.D. in Biostatistics from McGill University in 2022, where he honed his skills in statistical modeling and causal inference. Dr. Wang’s comprehensive educational background equips him with the theoretical knowledge and practical expertise necessary for his contributions to public health research.

Professional Experience

Dr. Wang’s professional experience encompasses a blend of academic research and industry collaboration. From 2015 to 2022, he served as a research assistant at McGill University and the McGill University Health Centre Research Institute, contributing to various projects in biostatistics and epidemiology. His industry experience includes internships and consultancy roles at prominent organizations such as Biogen, Roche, Baker & McKenzie, FINEOS Co., Ltd., KPMG China, and AXA Insurance Group. These roles provided Dr. Wang with practical insights into the application of statistical methods in diverse settings, including pharmaceuticals, legal consulting, and insurance. In 2023, he collaborated with the Center for Biostatistics in AIDS Research (CBAR), further solidifying his expertise in clinical trial analysis. Dr. Wang’s multifaceted professional background reflects his adaptability and commitment to applying statistical methodologies to real-world challenges.

Research Interests

Dr. Wang’s research interests are centered on advancing causal inference methodologies to address complex questions in public health. He focuses on data integration techniques that allow for the extension of causal inferences across different populations and data sources. His work on treatment effect heterogeneity aims to identify subpopulations that may benefit differently from interventions, thereby informing personalized medicine approaches. Dr. Wang also explores innovative trial designs, including adaptive and Bayesian frameworks, to enhance the efficiency and ethical conduct of clinical studies. Additionally, he is interested in incorporating prior knowledge, such as expert opinions, into statistical models to improve their interpretability and relevance. His methodological contributions are applied across various disease areas, including cardiovascular diseases, cancer, infectious diseases, and mental health disorders.

Research Skills

Dr. Wang possesses a comprehensive skill set in statistical methodologies and data analysis. His expertise includes nonparametric and semiparametric statistics, machine learning, high-dimensional data analysis, survival analysis, and optimization techniques. He is proficient in handling complex data structures, such as time-dependent treatments and longitudinal outcomes, commonly encountered in clinical and observational studies. Dr. Wang is adept at utilizing programming languages like R, Python, and C++ for statistical computing and developing analytical tools. His experience spans various data sources, including randomized clinical trials, electronic health records, and administrative databases. This diverse skill set enables him to tackle intricate research questions and contribute to methodological advancements in public health.

Awards and Honors

Dr. Wang’s contributions to biostatistics and public health research have been recognized through numerous awards and honors. He received the Fonds de Recherche du Québec – Santé Doctoral Training Grant (2019-2022), acknowledging his potential in health research. In 2021, he was honored with the Centre de Recherches Mathématiques StatLab Graduate Award and the McGill GREAT Award, reflecting his academic excellence. His achievements also include the McGill Graduate Excellence Award (2016-2021), the McGill Mobility Award (2019), and the McGill University Health Centre Studentship Fellowship (2019). Additionally, he was awarded the Statistical Society of Canada Biostatistics Travel Award in 2018. These accolades underscore Dr. Wang’s dedication to advancing statistical methodologies and their application in public health.

Conclusion

Dr. Guanbo Wang exemplifies a commitment to enhancing public health through methodological innovation in biostatistics and epidemiology. His extensive education and diverse professional experiences have equipped him with a robust foundation to address complex health research questions. Dr. Wang’s research endeavors aim to refine causal inference techniques, improve clinical trial designs, and integrate diverse data sources for comprehensive analyses. His contributions have the potential to inform evidence-based decision-making and personalized healthcare strategies. As he continues his work at the CAUSALab, Dr. Wang remains at the forefront of developing statistical methodologies that bridge the gap between data and impactful public health interventions.

Publications Top Notes

  1. Causal inference with multiple concurrent medications: A comparison of methods and an application in multidrug-resistant tuberculosis
    Authors: A.A. Siddique, M.E. Schnitzer, A. Bahamyirou, G. Wang, T.H. Holtz, G.B. Migliori, et al.
    Journal: Statistical Methods in Medical Research, 28(12), 3534–3549
    Year: 2019
    Citations: 31

  1. Estimating treatment importance in multidrug-resistant tuberculosis using Targeted Learning: An observational individual patient data network meta-analysis
    Authors: G. Wang, M.E. Schnitzer, D. Menzies, P. Viiklepp, T.H. Holtz, A. Benedetti
    Journal: Biometrics, 76(3), 1007–1016
    Year: 2020
    Citations: 17

  2. Using Effect Scores to Characterize Heterogeneity of Treatment Effects
    Authors: G. Wang, P.J. Heagerty, I.J. Dahabreh
    Journal: Journal of the American Medical Association
    Year: 2024
    Citations: 16

  1. Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patient data meta-analysis
    Authors: Y. Liu, M.E. Schnitzer, G. Wang, E. Kennedy, P. Viiklepp, M.H. Vargas, et al.
    Journal: Statistical Methods in Medical Research, 31(4), 689–705
    Year: 2022
    Citations: 10

  2. Evaluating hybrid controls methodology in early-phase oncology trials: A simulation study based on the MORPHEUS-UC trial
    Authors: G. Wang, M.P. Costello, H. Pang, J. Zhu, H.J. Helms, I. Reyes-Rivera, R.W. Platt, et al.
    Journal: Pharmaceutical Statistics, 23(1), 31–45
    Year: 2023
    Citations: 8

  3. Predictive factors of detectable viral load in HIV-infected patients
    Authors: A. Bouchard, F. Bourdeau, J. Roger, V.T. Taillefer, N.L. Sheehan, M. Schnitzer, G. Wang, et al.
    Journal: AIDS Research and Human Retroviruses, 38(7), 552–560
    Year: 2022
    Citations: 8

  4. Penalized G-estimation for effect modifier selection in the structural nested mean models for repeated outcomes
    Authors: A. Jaman, G. Wang, A. Ertefaie, M. Bally, R. Lévesque, R. Platt, M. Schnitzer
    Journal: Biometrics, 81(1)
    Year: 2024
    Citations: 5

  5. Robust integration of external control data in randomized trials
    Authors: G. Wang, R. Karlsson, J.H. Krijthe, I.J. Dahabreh
    Journal: arXiv preprint, arXiv:2406.17971
    Year: 2024
    Citations: 4

  1. Association between Sitting Time and Urinary Incontinence in the US Population: Data from the National Health and Nutrition Examination Survey (NHANES) 2007 to 2018
    Authors: D. Xingpeng, Y. Chi, X. Liyuan, W. Guanbo, L. Banghua
    Journal: Heliyon, 10(6)
    Year: 2024
    Citations: 4

  1. Integrating complex selection rules into the latent overlapping group Lasso for constructing coherent prediction models
    Authors: G. Wang, S. Perreault, R.W. Platt, R. Wang, M. Dorais, M.E. Schnitzer
    Journal: Statistics in Medicine
    Year: 2025
    Citations: 3

 

Ana Larisse Carneiro Pereira | Dentistry | Best Researcher Award

Dr. Ana Larisse Carneiro Pereira | Dentistry | Best Researcher Award

Federal University of Paraíba, Brazil

Dr. Ana Larisse Carneiro Pereira is a distinguished researcher in dental sciences with expertise in prosthodontics, oral rehabilitation, and digital dentistry. She holds advanced degrees in dentistry, including a Ph.D. in Dental Sciences, and is currently a postdoctoral researcher at the Federal University of Paraíba (UFPB). Her work focuses on innovative solutions for clinical and laboratory research, particularly in CAD/CAM technology, implant-supported prostheses, and removable dentures. She has authored patents, book chapters, and numerous research articles in high-impact journals. Dr. Pereira has received multiple awards for her contributions, including first-place recognitions and honorable mentions in national and international research forums. Her academic excellence has been consistently supported by prestigious research grants and scholarships from institutions such as CAPES and FAPESQ-PB. She has also undertaken an international research internship at the University of Campinas, further broadening her research scope. Dedicated to advancing dental science, she continuously seeks new methods to optimize prosthodontic techniques and improve patient care. With a strong background in clinical and laboratory research, Dr. Pereira is a leading figure in her field, making significant contributions to dentistry through her innovative and evidence-based approach.

Professional Profile

Education

Dr. Ana Larisse Carneiro Pereira has a comprehensive academic background in dental sciences. She earned her degree in Dentistry from Centro Universitário Doutor Leão Sampaio (UNILEÃO) and pursued specialization in Prosthodontics at the Brazilian Dental Association (ABO/RN). She then completed a Master’s degree in Dentistry at the Federal University of Rio Grande do Norte (UFRN), where she investigated the accuracy of intraoral scanning devices for implant procedures. Her Ph.D. in Dental Sciences, also from UFRN, focused on digital workflows for implant-supported prostheses and included a research internship at the University of Campinas (UNICAMP). Currently, she is undertaking postdoctoral research at the Federal University of Paraíba (UFPB), supported by FAPESQ-PB. Throughout her academic journey, she has been awarded scholarships from CAPES and FAPESQ, recognizing her research potential and contributions. In addition to her formal degrees, Dr. Pereira has completed numerous professional training programs and certifications in areas such as digital dentistry, prosthetic rehabilitation, CAD/CAM technology, and systematic reviews. Her educational background reflects a strong foundation in both theoretical and applied aspects of dentistry, positioning her as an expert in oral rehabilitation and prosthodontics research.

Professional Experience

Dr. Ana Larisse Carneiro Pereira has extensive professional experience in both academia and clinical research. As a postdoctoral researcher at UFPB, she focuses on developing innovative methods in prosthodontics and digital dentistry. During her Ph.D. at UFRN, she engaged in advanced clinical and laboratory research, particularly in digital workflows for implant-supported prostheses. She has also contributed to academia as an author of scientific publications and book chapters, sharing her expertise in oral rehabilitation. Additionally, she has served as a research scholar funded by CAPES, conducting high-impact studies in dental sciences. Her professional career includes a research internship at the University of Campinas (UNICAMP), where she explored cutting-edge prosthodontic techniques. Beyond research, Dr. Pereira has participated in clinical training programs and workshops, expanding her expertise in dental prosthetics, CAD/CAM technology, and implantology. She has also presented her findings at national and international conferences, contributing to the advancement of digital dentistry. With a career dedicated to both scientific research and practical applications in oral rehabilitation, Dr. Pereira is recognized as a leading professional in the field, combining technical expertise with a commitment to improving dental care through evidence-based research.

Research Interests

Dr. Ana Larisse Carneiro Pereira’s research interests primarily focus on prosthodontics, oral rehabilitation, and digital dentistry. She is particularly invested in advancing CAD/CAM technology for implant-supported and removable prostheses, seeking innovative ways to simplify existing techniques while improving precision and efficiency. Her studies explore the accuracy of intraoral and extraoral scanning in prosthetic procedures, digital workflows for complete dentures, and the impact of bonding protocols on prosthetic materials. She also investigates the clinical performance of different denture fabrication techniques, aiming to enhance the quality of prosthetic rehabilitation. Another key area of interest is the biomechanical behavior of implant-supported prostheses, evaluating factors such as occlusal contacts, bone loss, and peri-implant tissue conditions. Dr. Pereira is also engaged in interdisciplinary research, integrating digital technologies with traditional prosthodontic techniques. Her work contributes to the growing field of digital dentistry by developing new methodologies and improving patient outcomes. Through her research, she aims to bridge the gap between laboratory innovations and clinical applications, ensuring that dental professionals have access to the latest advancements in prosthetic rehabilitation.

Research Skills

Dr. Ana Larisse Carneiro Pereira possesses a diverse set of research skills that contribute to her expertise in dental sciences. She has extensive experience in clinical and laboratory research methodologies, particularly in the areas of prosthodontics and digital dentistry. Her technical skills include intraoral and extraoral scanning, CAD/CAM technology, 3D printing applications in dentistry, and mechanical testing of dental materials. She is proficient in systematic reviews and meta-analyses, utilizing evidence-based approaches to evaluate prosthodontic techniques. Dr. Pereira has also developed expertise in experimental design, statistical analysis, and biomechanical evaluations of implant-supported prostheses. Her ability to conduct interdisciplinary research allows her to integrate digital technologies with traditional prosthetic workflows, optimizing treatment protocols. In addition to her analytical skills, she has experience in scientific writing and peer review, contributing to high-impact publications. Her research skills extend to grant writing and securing funding for academic projects, demonstrating her capability in managing research initiatives. With a strong foundation in both theoretical and applied research, Dr. Pereira continues to refine and expand her skills, ensuring that her work remains at the forefront of dental science innovation.

Awards and Honors

Dr. Ana Larisse Carneiro Pereira has received numerous awards and honors in recognition of her contributions to dental research. She secured first place in the selection process for her postdoctoral research at UFPB and was awarded a prestigious FAPESQ-PB scholarship. She has won multiple first-place awards in clinical case presentations, systematic reviews, and research panels at national and international conferences, including the Bauru Dental Congress, the OdontoPet Conference, and the Meeting of the Brazilian Group for Recycling in Prosthesis and Implants. Dr. Pereira has also been a finalist for the Neal Garrett Award at the International Association for Dental Research (IADR), further highlighting her impact in the field. Additionally, she has received numerous honorable mentions for her research on digital workflows, CAD/CAM prostheses, and implant-supported dentures. Her work has consistently been recognized for its scientific rigor and innovation, making her a standout researcher in prosthodontics. These awards reflect her dedication to advancing oral rehabilitation and her ability to produce high-quality research that contributes to the field of digital dentistry and prosthetic solutions.

Conclusion

Dr. Ana Larisse Carneiro Pereira is a highly accomplished researcher in dental sciences, with a strong academic background, extensive research experience, and a remarkable record of awards and honors. Her work in prosthodontics, digital dentistry, and implant-supported prostheses has contributed significantly to the advancement of oral rehabilitation techniques. She possesses a diverse skill set that includes clinical research, CAD/CAM technology, biomechanical analysis, and systematic reviews, making her a leading figure in the field. Dr. Pereira’s dedication to improving prosthodontic techniques and her innovative approach to digital workflows have earned her numerous accolades and recognition from the scientific community. While she has already made substantial contributions, expanding international collaborations and industry partnerships could further elevate her impact. Her commitment to research excellence, continuous learning, and knowledge dissemination ensures that she remains at the forefront of dental science innovation. Dr. Pereira is a strong candidate for the Best Researcher Award, as her work not only advances academic knowledge but also has practical applications that benefit clinical dentistry and patient care.

Publications Top Notes

  1. Title: 3D‐printed denture base resins: Glazing as an alternative to improve surface, mechanical, and microbiological properties
    Authors: Ana Larisse Carneiro Pereira; João Pedro dos Santos Silva; Manassés Tercio Vieira Grangeiro; Annie Karoline Bezerra de Medeiros; Marcos Antonio Bottino; Valentim A. R. Barão; Adriana da Fonte Porto Carreiro
    Year: 2024

  2. Title: Conventional and digital impressions for complete-arch implant-supported fixed prostheses: time, implant quantity effect and patient satisfaction
    Authors: Ana Larisse Carneiro Pereira; Vitória Ramos Medeiros; Maria de Fátima Trindade Pinto Campos; Annie Karoline Bezerra de Medeiros; Burak Yilmaz; Adriana da Fonte Porto Carreiro
    Year: 2022

  3. Title: The computer-aided design and rapid prototyping fabrication of removable partial denture framework for occlusal rehabilitation: clinical report
    Authors: Adriana da Fonte Porto Carreiro; Ana Larisse Carneiro Pereira; Camila Oliveira Paz; Rachel Gomes Cardoso; Clebya Rosália Pereira Medeiros; Annie Karoline Bezerra de Medeiros; Rodrigo Falcão Carvalho Porto de Freitas
    Year: 2020