Professor Bhramar Mukherjee is the Anna M.R. Lauder Professor of Biostatistics and Professor of Chronic Disease Epidemiology at the Yale School of Public Health. Professor Mukherjee serves as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at the school. She holds a secondary appointment in the Department of Statistics and Data Science at Yale University. Prior to joining Yale University in 2024, Dr. Mukherjee built a distinguished career at the University of Michigan where she was appointed as John D. Kalbfleisch Distinguished University Professor of Biostatistics and the first woman Chair of the Department of Biostatistics (2018-2024). She is known for her contribution to statistical methods for integration of genetic, environmental, and disease data from large healthcare databases and for her work on COVID-19 in India.
She is winner of many awards, including the 2023 Karl Peace award from the ASA for betterment of society through statistics, and the 2024 Marvin Zelen Leadership in Statistical science award from Harvard Biostatistics. She is a fellow of the ASA, IMS, AAAS, and an elected member of the US National Academy of Medicine. She has written more than 420 articles and supervised 22 PhD and 5 post-doctoral scholars. She is the founding director of several flagship undergraduate summer programs on big data. She is the 2026 President of ENAR, an eminent professional society for biostatisticians.
Ana Ortega-Villa, PhD (FEBW Committee Chair) is an Associate Director of Biostatistics at Biogen. Prior to this role, she served as a mathematical statistician at the National Institute of Allergy and Infectious Diseases (NIAID). She completed postdoctoral fellowships at the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Cancer Institute, and earned her PhD in Statistics from Virginia Tech, where she currently serves as an Adjunct Professor.
Her interests include design and analysis of clinical trials and observational studies, longitudinal data, mixed models, postpartum depression, immunology, research capacity building, statistics education, and initiatives that foster a culture of belonging.
Dr. Ortega-Villa is a COPSS Emerging Leader, the Chair of the American Statistical Association Biometrics Section, a member of ENAR RECOM, and an Associate Editor of Statistics in Medicine.
Justice Akuoko-Frimpong is a PhD candidate in Biostatistics at the University of Michigan School of Public Health, working under the supervision of Prof. Susan Murray. His research focuses on survival analysis, nonparametric methods, and methods for complex and incomplete biomedical data, motivated by applications in clinical and population health. He serves as a Graduate Student Research Assistant, collaborating closely with physicians and clinical teams in COPD and pulmonary health. Through this work, he has gained experience bridging methodological development with real-world clinical questions. In addition to his research, he is passionate about teaching and mentorship and has served as a teaching assistant for multiple graduate-level biostatistics courses. Outside of school, Justice enjoys playing FIFA games and watching soccer matches.
Torre Lloyd is a first-year master’s student in Biostatistics at Brown University, where she is part of the NextGen program, a pathway specifically tailored for students pursuing a master’s degree in biostatistics. Originally from Greenville, North Carolina, she earned her B.S. in Mathematics with a concentration in Statistics from Winston-Salem State University, where she developed a strong foundation in quantitative analysis, statistical modeling, and data interpretation. Her academic interests center on applying statistical methods to public health and biomedical research. She enjoys working with real-world data to uncover patterns, evaluate interventions, andå support evidence-based decision-making. She is particularly interested in the intersection of biostatistics, epidemiology, and health equity, and is committed to developing skills that integrate statistical programming, study design, and applied research. Outside of her academic work, Torre enjoys spending time with her family and shopping. She values balance, community, and lifelong learning, and looks forward to connecting with peers and professionals throughout the conference. She is excited to learn more about emerging research, collaborative opportunities, and future career pathways in biostatistics and public health.
Lydia Owens is a Morehead-Cain and Goldwater Scholar at the University of North Carolina at Chapel Hill, where she is pursuing a dual degree in Biostatistics and Mathematics with a minor in Data Science. Having spent time in research groups at Oxford, Harvard, and Duke, Lydia has developed a deep interest in infectious disease modeling, causal inference, and health equity. As a third-time attendee and the Undergraduate Representative for the Fostering Excellence in Biostatistics Workshop (FEBW), she is dedicated to strengthening mentorship pathways and ensuring student feedback helps shape the future of the biostatistics community. Her previous work includes a first-author study in BMJ Open on agent-based modeling of COVID-19 in U.S. prisons, as well as research on telomere length and cognitive trauma. At this year’s ENAR meeting, she is excited to share her Oxford-based work on Bayesian spatial modeling (CAR and GP models) of UK lung cancer mortality. This summer, she looks forward to joining the Harvard Department of Biostatistics to work with Dr. Rui Duan on electronic health record (EHR) data. Lydia plans to pursue a PhD in Biostatistics with a long-term goal of leading global health initiatives.
Licza Lobo is an MSPH student in Biostatistics at Emory University’s Rollins School of Public Health and recently earned her BSPH in Biostatistics from the University of North Carolina at Chapel Hill. Her interests include applied biostatistics, real-world data, and clinical research in healthcare and biopharma, with a focus on health equity. She currently works as a Data Analyst with the Alliance for Pharmacy Compounding and as a Graduate Research Assistant with Emory’s Center for Infectious Disease Modeling & Analytics and Training Hub (CIDMATH)/Georgia Emerging Infections Program. As a first-generation college student and first-generation American, she is especially motivated to broaden access to mentorship and career pathways in biostatistics.
Jodeci Roberts is a fourth-year PhD candidate in Biostatistics at Harvard University. She earned her undergraduate degree in Mathematics and a master’s degree in Computer Science. Her research focuses on developing statistical methods to examine how food environments influence colon cancer outcomes, with an emphasis on improving population health and addressing health disparities.
Dr. Gary Sullivan is the founder of Espirer Consulting, LLC (est. 2018) where he provides leadership training, coaching, and advising to statisticians, quantitative scientists and their leaders. He is the co-developer and primary instructor for The Effective Statistician Leadership Program, an on-line and in-person leadership program for statisticians and quantitative scientists in the pharmaceutical industry. He has provided leadership training to over 1000 professionals within the pharmaceutical industry and the ASA. Dr. Sullivan has trained and consulted with over a dozen pharmaceutical companies/CROs on topics including communication/presentations, trust-building, strategic thinking, driving change, business acumen, negotiation/conflict resolution, teamwork, supervising employees, and career development/planning.
Dr. Sullivan retired from Eli Lilly and Company in 2017 as the Senior Director for Non-Clinical Statistics. He joined Eli Lilly in 1989 and held various technical and administrative roles over his 28 years there. While at Eli Lilly, he led the development and administration of a leadership program for the statistics function from 2009–2017. Dr. Sullivan holds a bachelor’s degree in Statistics from the University of Pittsburgh, and both a Master’s and Doctorate in Statistics from Iowa State University.
Dr. Brian A. Millen, is Vice President, Head of Statistical Sciences & Evidence Generation at Biogen. In this role, he ensures data-driven decision making in support of Biogen’s drug development portfolio and provides strategic and administrative leadership to the Biostatistics, Real World Data Analytics, and Epidemiology organizations. Dr. Millen’s career in the pharmaceutical sector spans more than two decades. He is known for establishing team cultures of high performance, inclusion and innovation.
Dr. Millen is a passionate advocate for professional development. Throughout his career, he has mentored dozens of students and professionals and organized bespoke development programs for these groups. This includes his initiation and launch of the JSM Diversity Workshop and Mentoring Program (2009) which, since its inception, has provided mentoring and skills development for career success to hundreds of statisticians and data scientist from underrepresented minority groups. Dr. Millen’s impact via service to the profession has led to multiple elected or appointed leadership and advisory roles in professional societies. He is apast Chair of the American Statistical Association’s (ASA’s) Biopharmaceutical Section, a past Chair of the ASA’s Committee on Minorities in Statistics, a current member of the International Biometrics Society (IBS) Representative Council, and has chaired or co-chaired multiple conferences and workshops serving statisticians and data scientists at various career levels.
Dr. Millen has the current honor of being President-elect of the American Statistical Association. He is the first pharmaceutical industry leader to be elected to the role. Dr. Millen holds a Ph.D. in Statistics from The Ohio State University and a B.A. in Mathematics from the University of Georgia. He is a fellow of the American Statistical Association.
Sefanit Admasu, MPH is a statistician at Merck, supporting clinical trial design and analysis within the Respiratory and Immunology group. Sefanit earned her MPH in Data Science and BS in Statistics and Analytics from the University of North Carolina at Chapel Hill. Prior to Merck, she worked with the UNC Department of Epidemiology and at IQVIA in Durham, NC. Her research interests include clinical trial development, survival and longitudinal data analysis, and public health research with a focus on women’s health and health disparities. In her spare time, she enjoys reading, being active, and spending time with loved ones.
Samuel Anyaso-Samuel, PhD is a postdoctoral fellow in the Biostatistics Branch of the Division of Cancer Epidemiology and Genetics at the National Cancer Institute. His research develops statistical and computational methods for integrating multi-omics data to understand molecular interactions underlying disease etiology, progression, and clinical outcomes. He is particularly interested in network-based and high-dimensional modeling approaches with applications in cancer genomics and precision medicine. Sam enjoys close collaboration with health scientists to translate methodological innovation into biological insight. He earned his Ph.D. in Biostatistics from the University of Florida.
Lydia Owens is a Morehead-Cain and Goldwater Scholar at the University of North Carolina at Chapel Hill, where she is pursuing a dual degree in Biostatistics and Mathematics with a minor in Data Science. Having spent time in research groups at Oxford, Harvard, and Duke, Lydia has developed a deep interest in infectious disease modeling, causal inference, and health equity. As a third-time attendee and the Undergraduate Representative for the Fostering Excellence in Biostatistics Workshop (FEBW), she is dedicated to strengthening mentorship pathways and ensuring student feedback helps shape the future of the biostatistics community. Her previous work includes a first-author study in BMJ Open on agent-based modeling of COVID-19 in U.S. prisons, as well as research on telomere length and cognitive trauma. At this year’s ENAR meeting, she is excited to share her Oxford-based work on Bayesian spatial modeling (CAR and GP models) of UK lung cancer mortality. This summer, she looks forward to joining the Harvard Department of Biostatistics to work with Dr. Rui Duan on electronic health record (EHR) data. Lydia plans to pursue a PhD in Biostatistics with a long-term goal of leading global health initiatives.
Carmen B. Rodriguez Cabrera, MPH is a PhD candidate in Biostatistics at the Harvard T.H. Chan School of Public Health. Her research focuses on the development of model-based Bayesian clustering methods for high-dimensional exposure data to improve our understanding of population health disparities, with a particular emphasis on neighborhood-level social determinants of health. She is especially passionate about advancing statistical methods to address inequities in cancer treatment and outcomes among underrepresented and vulnerable populations. Prior to her doctoral training, Carmen worked as a Research Project and Data Manager on several NIH/NCI-funded pilot studies and a prospective cohort study at the Columbia University Irving Medical Center, Department of Epidemiology, examining breast cancer screening and prevention in racially and ethnically diverse populations. She holds an MPH in Epidemiology and Biostatistics from the CUNY School of Public Health and a BA in Mathematics from Bard College.
Prince Allotey, PhD is a Faculty Lecturer in the Department of Statistics at the University of Georgia and currently serves as Chair of the American Statistical Association Diversity Mentoring Program. He earned his PhD in Statistics from the University of Connecticut and a BSc in Computer Science and Statistics from the University of Ghana. His research interests include missing data analysis, statistics education, and Bayesian inference for spatially correlated data. Committed to fostering diversity and inclusion, he actively mentors students and professionals through a variety of programs and initiatives. Outside of academia, Prince enjoys playing and watching soccer, staying connected to his Ghanaian heritage, and participating in community activities.
Ofer Harel, Ph.D. is dean of the College of Liberal Arts and Sciences and a Professor of Statistics at the University of Connecticut. He received his doctorate in statistics in 2003 from the Pennsylvania State University and his post-doctoral training at the University of Washington, Department of Biostatistics, where he worked for the Health Services Research & Development (HSR&D) Center of Excellence, VA Puget Sound Healthcare System, and the National Alzheimer’s Coordinating Center (NACC). He Joined UCONN as an Assistant Professor in 2005 and is there since. Dr. Harel has served as a biostatistical consultant nationally and internationally since 1997. Dr. Harel is a member of the National Academy of Science, Engineering and Medicine’s Committee on Applied and Theoretical Statistics. He was appointed to the Bureau of Labor Statistics Technical Advisory Committee (BLSTAC) at the U.S. Bureau of Labor Statistics among many national elected and appointed positions. Dr. Harel is a Fellow of American Statistical Association
Dr. Scarlett Bellamy is chair and professor of Biostatistics. Prior to her arrival at BU, she was a professor in the Department of Epidemiology and Biostatistics and the Associate Dean for Diversity and Inclusion at Drexel University Dornsife School of Public Health. Before joining Drexel University in 2016, Bellamy spent 15 years at the University of Pennsylvania (UPenn) Perelman School of Medicine, where she was a professor of biostatistics. She holds a bachelor’s degree in mathematics from Hampton University, and completed her doctoral training in biostatistics at the Harvard University T.H. Chan School of Public Health. Much of Bellamy’s research centers on evaluating the efficacy of interventions in longitudinal behavioral modification trials, including cluster- and group-randomized trials. She is particularly interested in applying this methodology to address health disparities for a variety of clinical and behavioral outcomes, including HIV/AIDS, cardiovascular disease, and health-promoting behaviors.
Dr. Bellamy was PI of the Fostering Diversity in Biostatistics Workshop at the ENAR a federally funded initiative aims to increase the number of underrepresented minorities in graduate training and professional careers in biostatistics and the precursor to the FEBW. In 2016, she was elected a fellow of the American Statistical Association (ASA) a feature of the ASA for nearly 100 years, and under ASA bylaws, only one-third of one percent of the total association membership may be elected as fellows each year. In 2017, Bellamy served as the president of ENAR and has been a long-standing member of the organization since joining as a graduate student in 1997.
Dr. Loni Philip Tabb is the Senior Associate Dean for Faculty Affairs, Associate Professor of Biostatistics, andGraduate Program Director in the Department of Epidemiology and Biostatistics at Drexel University’s Dornsife School of Public Health in Philadelphia, PA. She received her PhD in Biostatistics from Harvard University in 2010 where she developed novel statistical methods towards applications in environmental health and health disparities research. She also obtained her B.S. (2003) and M.S. (2005) in Mathematics from Drexel.
At Drexel University, she has led and collaborated as a Principal Investigator and Co-Investigator, respectively, on several National Institutes of Health (NIH), National Science Foundation (NSF), Annie E. Casey Foundation, Robert Wood Johnson Foundation, and Sidney Kimmel Cancer Center funded projects.
Most recently, Dr. Tabb has used spatial and spatio-temporal statistics and epidemiology methods in the area of cardiovascular disease, with a focus on assessing the spatial patterning and geography of cardiovascular health here in the US between Blacks and Whites. She was awarded a K01 Career Development Award (2017-2022) from the National Heart, Lung, and Blood Institute, entitled “Assessing the spatial heterogeneity in cardiovascular risk factors within and between blacks and whites”. As the PI of this grant, Dr. Tabb has mapped and measured the varying disparities locally in major cities as well as nationally, with hopes of providing this evidence to inform policy makers, health officials, and the communities affected in improving cardiovascular health in this country. In 2022, she became MPI for an NSF funded project called “Women in Natural Sciences: A Longitudinal Comparative Case Study of Black Women in STEMM (1995-2015).” This study probes the experiences of Black women at a critical phase of their workplace participation particularly in the STEMM field and utilizes a mixed effect (quantitative and qualitative) study design to better understand their longitudinal trajectories.
Dr. Tabb has also taught several courses at Drexel, which include Biostatistics, Survival Data Analysis, Advanced Statistical Computing, and Bayesian Data Analysis. In addition to her in-classroom instruction, Dr. Tabb also mentors significantly, both formally and informally. Her goal with mentoring is to “pay-it-forward” and to help connect mentees and mentors alike.
Dr. Tabb is an active member of several biostatistics and public health professional societies – including the Eastern North American Region of the International Biometric Society. Dr. Tabb is the proud daughter of two immigrants – Patsie (St. Vincent and the Grenadines) and Garfield (Grenada) Philip. She lives in Delaware with her husband, Thomas E. Tabb, Jr. and their two children Madison (14) and Chandler (11). She is a member of Harvest Christian Fellowship and is a Board Member at The Tatnall School n Wilmington, DE.
Dominique McDaniel, PhD (Co-Chair) is an Associate Director of Biostatistics at Merck, where she leads statistical analysis and design for research and development in the Immunology group. Dominique earned her PhD in Biostatistics from Drexel University and completed her undergraduate studies in Mathematics at Cheyney University of Pennsylvania. She also holds a Master of Science in Applied Statistics from West Chester University and a Master of Science in Mathematical Statistics from Purdue University. Prior to her doctoral studies, Dominique worked at Eli Lilly & Company in Indianapolis, IN. Her research interests include Bayesian & Spatial Statistics, Clinical Trial Development, and Causal Inference. In addition to her scientific contributions, Dominique has made a significant impact on diversity and mentoring programs within the statistics community. She is also a passionate advocate and speaker on diversity and STEM-related topics.In her spare time, Dominique enjoys running, weight training, and reading.