Elissa Epel, PhD

Professor
AME Director
Psychiatry
[email protected]
+1 415 476-7648

Elissa Epel, Ph.D, is a Professor, and Vice Chair, in the Department of Psychiatry, at the University of California, San Francisco. Her research aims to elucidate mechanisms of healthy aging and to apply this basic science to scalable interventions that can reach vulnerable populations. She is the Co-Director of the Aging, Metabolism, and Emotions Center, and the Consortium for Obesity Assessment, Study, & Treatment, (COAST), and a Co-Director of the Center for Health and Community.

She is also focusing on climate wellness. She is the Director of the Mental Health Council for climate change, part of the UC wide Climate Change, Health and Equity Center.

​Epel is a member of the National Academy of Medicine, past President of the Academy of Behavioral Medicine Research, and past co-chair of the Mind & Life Institute Steering Council.  Since 2022, she is named as a highly cited research across fields (top .1% globally). She has served as a consultant to NIH, CDC, Facebook, Apple, United Health, and UC campus-wide initiatives on stress and health.  Epel’s research has been featured in venues such as TEDMED, Wisdom 2.0, NBC’s Today Show, CBS’s Morning Show, 60 minutes, National Public Radio, New York Times, Wall Street Journal, and science documentaries. She co-wrote the New York Times best-seller “The Telomere Effect: A revolutionary approach to living younger, longer” with Nobel Laureate Elizabeth Blackburn (translated into 30 languages) and the new “Stress Prescription,” an independent bookstore best seller and being translated into 15 languages. She enjoys leading science-based meditation retreats. Her personal website is www.elissaepel.com.

 

Publications

A platform to map the mind-mitochondria connection and the hallmarks of psychobiology: the MiSBIE study.

Trends in endocrinology and metabolism: TEM

Kelly C, Trumpff C, Acosta C, Assuras S, Baker J, Basarrate S, Behnke A, Bo K, Bobba-Alves N, Champagne FA, Conklin Q, Cross M, De Jager P, Engelstad K, Epel E, Franklin SG, Hirano M, Huang Q, Junker A, Juster RP, Kapri D, Kirschbaum C, Kurade M, Lauriola V, Li S, Liu CC, Liu G, McEwen B, McGill MA, McIntyre K, Monzel AS, Michelson J, Prather AA, Puterman E, Rosales XQ, Shapiro PA, Shire D, Slavich GM, Sloan RP, Smith JLM, Spann M, Spicer J, Sturm G, Tepler S, de Schotten MT, Wager TD, Picard M, MiSBIE Study Group

DNA methylation GrimAge version 2.

Aging

Lu AT, Binder AM, Zhang J, Yan Q, Reiner AP, Cox SR, Corley J, Harris SE, Kuo PL, Moore AZ, Bandinelli S, Stewart JD, Wang C, Hamlat EJ, Epel ES, Schwartz JD, Whitsel EA, Correa A, Ferrucci L, Marioni RE, Horvath S

Author Correction: Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study.

Scientific reports

Mason AE, Hecht FM, Davis SK, Natale JL, Hartogensis W, Damaso N, Claypool KT, Dilchert S, Dasgupta S, Purawat S, Viswanath VK, Klein A, Chowdhary A, Fisher SM, Anglo C, Puldon KY, Veasna D, Prather JG, Pandya LS, Fox LM, Busch M, Giordano C, Mercado BK, Song J, Jaimes R, Baum BS, Telfer BA, Philipson CW, Collins PP, Rao AA, Wang EJ, Bandi RH, Choe BJ, Epel ES, Epstein SK, Krasnoff JB, Lee MB, Lee SW, Lopez GM, Mehta A, Melville LD, Moon TS, Mujica-Parodi LR, Noel KM, Orosco MA, Rideout JM, Robishaw JD, Rodriguez RM, Shah KH, Siegal JH, Gupta A, Altintas I, Smarr BL

Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study.

Scientific reports

Mason AE, Hecht FM, Davis SK, Natale JL, Hartogensis W, Damaso N, Claypool KT, Dilchert S, Dasgupta S, Purawat S, Viswanath VK, Klein A, Chowdhary A, Fisher SM, Anglo C, Puldon KY, Veasna D, Prather JG, Pandya LS, Fox LM, Busch M, Giordano C, Mercado BK, Song J, Jaimes R, Baum BS, Telfer BA, Philipson CW, Collins PP, Rao AA, Wang EJ, Bandi RH, Choe BJ, Epel ES, Epstein SK, Krasnoff JB, Lee MB, Lee SW, Lopez GM, Mehta A, Melville LD, Moon TS, Mujica-Parodi LR, Noel KM, Orosco MA, Rideout JM, Robishaw JD, Rodriguez RM, Shah KH, Siegal JH, Gupta A, Altintas I, Smarr BL

Disease drivers of aging.

Annals of the New York Academy of Sciences

Hodes RJ, Sierra F, Austad SN, Epel E, Neigh GN, Erlandson KM, Schafer MJ, LeBrasseur NK, Wiley C, Campisi J, Sehl ME, Scalia R, Eguchi S, Kasinath BS, Halter JB, Cohen HJ, Demark-Wahnefried W, Ahles TA, Barzilai N, Hurria A, Hunt PW