Heming Wang, PhD is a lead investigator at the Division of Sleep and Circadian Disorders at Brigham and Women’s Hospital and an Assistant Professor of Medicine at Harvard Medical School. Dr. Wang received her PhD in Epidemiology and Biostatistics from Case Western Reserve University in 2017 with the Doctoral Excellence Award and completed her postdoctoral training at Brigham and Women’s Hospital and Harvard Medical School.
Dr. Wang’s team performs genetics and epidemiology studies in large cohorts and biobanks to identify genetic, neurophysiological, behavioral, and environmental risk factors for human sleep and sleep disorders, and to elucidate their impacts on common cardiometabolic and neuropsychiatric diseases.
Dr. Wang received grants from the NIH and Sleep Research Society Foundation.
Tariq Faquih, PhD received his PhD in Clinical Epidemiology at Leiden University Medical Hospital. His main research interest is on epidemiological studies and methodologies using Omics such as genomics, metabolomics, and proteomics. His current research at the Sleep Medicine Division at Brigham and Women’s Hospital and Harvard Medical School utilizes multi-omics data to conduct epidemiological studies on excessive daytime sleepiness, and sleep disorder related health outcomes.
Matthew Goodman, PhD received his PhD in Biostatistics at Harvard T.H. Chan School of Public Health. During his postdoctoral training, he received the NHLBI T32 and F32, and TOPMed fellowship.
Kaitlyn Potts, PhD has a PhD in Epidemiology and an M.P.H. in Global Community Health Nutrition from Tulane University’s School of Public Health and Tropical Medicine. Her previous experience in global public health included monitoring and evaluation of nutrition programs in low-income countries. During her doctoral program and now as a postdoctoral fellow, her research interests have shifted to studying the intersection of sleep and diet, including how these behaviors influence each other, and how sleep and diet jointly impact chronic disease risk and population health inequities.
Pavithra Nagarajan received her B.S. in Bioinformatics, Minor in CS from UCSC in 2020 and M.S. in Computational Biol. and Quant. Genetics from HSPH in 2022. She was selected as 2022 Harvard Graduate Student Employee of the year. She loves applying data science towards the genomics landscape – whether it be inverse RNA design, ethics of AI, clustering, prediction model building, genome-wide GxE analyses, or data visualization.
Staci Bell received her B.A. from the University of Pennsylvania in 2020 with a major in Earth Science and a minor in Statistics and is currently a student at the Harvard T.H. Chan School of Public Health pursuing an MS in Biostatistics. She has participated in a wide array of statistical and scientific work in fields such as soil biogeochemistry, archaeobotany, and demography. Her passion lies in the application of micro-level research (e.g. biophysics, individual-level surveys, and genomics) to macro-level issues (e.g. climate change, national poverty, and disease).
Yushan Xu is a master student from Computational Biology and Quantitative Genetics program at Harvard T.H. Chan School of Public Health. She dedicates herself to utilizing advanced modern statistical genetic methods to analyze public health data and explore human genomes. She had experience in investigating the genetic architecture of complex traits and implementing PRS to identify individuals at high risks.
Julia Xiao is a high school student attending Acton-Boxborough Regional High School (class of 2024). She is interested in Statistics and specifically its application in genetics analysis. She values the research trainee opportunity to perform literature review, as well as learn basis statistics model and principals and data software. In her free time, Julia’s passions are swimming for her high school and club team, volunteering to teach kids, and working as a lifeguard.
Yiyan Zhang, student intern (2022-2023), current PhD in Biostatistics.