Anna is a Postdoctoral Scholar at Stanford University in the Department of Epidemiology and Population Health. She obtained her PhD and MPH from UC Berkeley in Environmental Health Sciences, with an emphasiss in Computational and Genomic Biology, and her BS from UC Davis in Environmental Toxicology and Communication. Her research focuses on using novel epidemiological, molecular, and computational approaches to examine the mechanisms by which cumulative exposures during critical periods of development promote chronic disease later in life. She aims to combine her research career with research translation and communication, so that environmental health findings are more widely integrated into clinical practice and public policy.

LinkedIn: https://www.linkedin.com/in/annasmith1212/ 

Twitter: https://twitter.com/11Annarose 

Isabella Gándara is a doctoral student in the Department of Epidemiology & Population Health at Stanford School of Medicine. She earned her Bachelor of Science degree in Biological Engineering at the Massachusetts Institute of Technology. Isabella’s research interests primarily focus on the epigenetic response to diverse environmental exposures, from smoking to forever chemicals. She looks forward to better understanding how these exposures impact epigenetic aging throughout life, particularly in key windows of development such as early life and pregnancy. 

Dennis is a Postdoctoral Scholar in the Department of Epidemiology and Population Health at Stanford University. His research interests include characterizing the epigenetic mechanisms of environmental exposures, studying the determinants of biological aging across the life course, integrating multiple layers of -omic data, and developing applications of modern mixture methods and machine learning for high dimensional biological data. He earned a PhD in Environmental Health Sciences with a Designated Emphasis in Computational Biology from the University of California, Berkeley and MPH in Environmental Health Sciences from Columbia University. 

Ixel is a Postdoctoral Scholar in the Department of Epidemiology and Population Health at Stanford University. She completed her Ph.D. in Epidemiology and M.P.H in Biostatistics/Epidemiology from the University of Southern California, and her BA in Political Science from the University of California, Los Angeles. Her research has predominately focused on investigating the impact of exposures to chemical mixtures during the pre/postnatal period on early neurodevelopment. She is particularly interested in understanding the co-occurring effects of pre/postnatal chemical and psychosocial stressors on fetal development, along with possible underlying mechanisms.

Raj Fadadu is currently completing dermatology residency at UC San Diego and has been interested in the intersection between environmental factors and human health.  He completed his undergraduate (B.A.) and graduate (M.S.) education at the UC Berkeley School of Public Health, received his M.D. from UC San Francisco (UCSF) in 2023, and has conducted several environmental epidemiology research projects.  His epigenetics research has primarily focused on how environmental exposures, including air pollutants and climate change, affect DNA methylation patterns and epigenetic age acceleration; he hopes to integrate epigenetics research within the field of dermatology.  Outside of research, he enjoys hiking, going to concerts, and trying new restaurants.

Nicole received her PhD in Medical Genetics from the University of British Columbia investigating how early life adversity impacted DNA methylation changes over the life course. At Stanford she is a research fellow investigating how social adversity impacts health disparities by combining epigenetic, genetic and epidemiological data. Her goal is to obtain a better understanding of how negative health outcomes develop and identifying vulnerable populations to develop more effective interventions."

Javier Perez-Garcia is a postdoctoral scholar in the Department of Epidemiology and Population Health at Stanford University. His research has been focused on the integration of multi-omic data (e.g., genomics, epigenomics, transcriptomics, and microbiome) to identify potential biomarkers of treatment response for complex diseases like asthma. His research background includes experience both in molecular biology techniques (e.g., DNA extraction and sequencing libraries preparation) and bioinformatic analyses (e.g., processing of raw omic data, association studies at genomic scale, or multi-omic integration through machine learning and quantitative trait loci analyses). He holds a Ph.D. in Health Sciences and a B.Sc. in Pharmacy (awarded by best academic records) from the University of La Laguna (Spain). 

X: https://x.com/javier_pg96

LinkedIn: https://es.linkedin.com/in/javier-perez-garcia-853071250

NCBI Bibliography: https://www.ncbi.nlm.nih.gov/myncbi/javier.perez%20garcia.1/bibliography/public/

Amy is a Postdoctoral Scholar in the Department of Epidemiology and Population Health at Stanford University. She received her PhD in Medical Genetics from the University of British Columbia, where her research focused on DNA methylation variation in prenatal life, primarily in the context of studies of sex differences, prenatal exposures, and X-chromosome inactivation. Going forward, Amy is interested in evaluating ‘omics data across the life course, and in constructing tools to recapitulate exposures and disease states from molecular data alone.

Dayoon is a Postdoctoral Scholar in the Department of Epidemiology and Population Health at Stanford University. She holds a PhD in Epidemiology from UCLA, where her research focused on air pollution and Parkinson’s disease, examining gene-environment interactions and metabolomic signatures. Prior to joining UCLA, Dayoon worked at Columbia University, quantifying biological aging using DNA methylation and blood-chemistry data. Her research combines epidemiology, systems biology, and data science to investigate environmental drivers of disease and aging across the life course, using omics data.

LinkedIn: https://linkedin.com/in/dayoonkwon/

Website: https://dayoonkwon.com