Elissa Epel, PhD

Professor
M_Psych-Core-Rsch
+1 415 476-7648

Elissa Epel, Ph.D, is a Professor and Vice Chair in the Department of Psychiatry & Behavioral Sciences, at University of California, San Francisco. She is the Director of the Aging, Metabolism, and Emotions Center (www.amecenter.ucsf.edu), Associate Director of the Center for Health and Community and the NIDDK UCSF NORC, member of the National Academy of Medicine, and past President of the Academy of Behavioral Medicine Research and Co-Chair of the Mind and Life Institute Steering Council. Epel is leading the Climate Resilience Initiative, as part of the UC wide Center for Climate, Healthy and Equity.

Elissa focuses on the malleable determinants of healthy longevity, optimal metabolism, and mental health, both lifecourse predictors and interventions to slow aging. She studies the psychological, social, and behavioral processes related to chronic psychological stress and health, and how to apply this basic science to scalable interventions. She studies processes that accelerate biological aging, with a focus on toxic stress, overeating and effects on metabolism, and cellular aging (including the telomere/telomerase maintenance system). She and her colleagues develop and test interventions that combine behavioral, psychological, and mindfulness training to improve stress resilience, to slow aging. She co-leads a national Stress Network, and an Emotional Well Being Network, and has been involved in National Institute Health initiatives on Geroscience, reversibility of early life adversity, and the Science of Behavior Change.

Epel studied psychology and psychobiology at Stanford University, and clinical and health psychology at Yale University. She completed a clinical internship at the Palo Alto Veterans Healthcare System and an NIMH postdoctoral fellowship at UCSF. Epel has received several awards including the APA Early Career Award, Academy of Behavioral Medicine Research Neal Miller Young Investigator Award, Mind and Life Service Award, the 2017 Silver Innovator Award from the Alliance for Aging Research, and the Patricia Barchas Award for Sociophysiology research from APS/SBMS. She has been named a highly cited researcher since 2019.

Epel co-wrote with Nobel Laureate Elizabeth Blackburn, The Telomere Effect, a NYT bestseller under Science, which is translated in 30 languages. She also wrote The Stress Prescription, on science based fundamental practices to reduce stress and increase well being (in 16 languages).

Her work has been featured in venues such as TEDMED, NBC’s Today Show, CBS’s Morning Show, 60 minutes, National Public Radio, New York Times, Wall Street Journal, Wisdom 2.0, Health 2.0, and in many science documentaries. Epel enjoys leading retreats and sharing practical science based information to the public. She led the creation of expert written web-based resources and short videos for pandemics and other crises, including psychological first aid and mental health issues at https://cope.ucsf.edu and co-leads creation and dissemination of climate resilience resources for students and the public.

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