Marta Guasch-Ferre
Adjunct Faculty

Marta Guasch-Ferre

Adjunct Associate Professor of Nutrition



Dr. Guasch-Ferre is a Research Scientist at the Department of Nutrition at Harvard T.H. Chan School of Public Health and Instructor in Medicine at Harvard Medical School and Brigham and Womens Hospital. She holds a PhD in Nutritional Epidemiology. Her research interests include the role of Mediterranean diet on type 2 diabetes and cardiovascular disease. She is currently working on Dietary Interventions, metabolomics, type 2 diabetes and cardiovascular disease in the context of the PREDIMED Study, a randomized clinical trial for primary prevention of cardiovascular disease. She has incorporated high-throughput omics techniques, metabolomics and genetics, into traditional epidemiological analysis to gain insights into underlying mechanisms that could explain the associations between diet and lifestyle factors in relation to type 2 diabetes and cardiovascular diseases. Dr. Guasch-Ferre research is also focused on evaluating the effect of olive oil, nuts and other dietary fats on type 2 diabetes and cardiovascular disease in Mediterranean populations, the PREDIMED Study, but also in non-Mediterranean large cohorts, Nurses Health Study I and II and Health Professionals Follow-up Study.

During her doctoral training, she evaluated the role of key components of the Mediterranean diet, nuts and olive oil, on metabolic syndrome, cardiovascular risk factors, cardiovascular disease and mortality in individuals at high cardiovascular risk from the PREDIMED Study. Dr. Guasch-Ferre has participated in the design, logistics, dietary interventions, data management, statistical analysis and manuscript preparation of several clinical trials, including the PREDIMED Study, more than 7,000 participants were randomized to three different interventions.

BS, 2009, Human Nutrition and Dietetics
Rovira i Virgili University, Spain

MSc, 2011, Master in Nutrition and Metabolism
University of Barcelona, Spain

PhD, 2014, Nutrition and Metabolism
Rovira i Virgili University, Spain

Postdoc, 2017, Nutritional Epidemiology
Harvard TH Chan School of Public Health, Boston, US

Travel Award
Postdoctoral Association Harvard TH Chan School of Public Health

Finalist Jeremiah and Rose Stamler Research Award for New Investigators
American Heart Association

Early Career Travel Award
American Heart Association

Sandra A. Daugherty Award for Excellence in Cardiovascular Disease
American Heart Association


The Mediterranean diet, plasma metabolome, and cardiovascular disease risk.

Li J, Guasch-Ferré M, Chung W, Ruiz-Canela M, Toledo E, Corella D, Bhupathiraju SN, Tobias DK, Tabung FK, Hu J, Zhao T, Turman C, Feng YA, Clish CB, Mucci L, Eliassen AH, Costenbader KH, Karlson EW, Wolpin BM, Ascherio A, Rimm EB, Manson JE, Qi L, Martínez-González MÁ, Salas-Salvadó J, Hu FB, Liang L.

Eur Heart J. 2020 07 21. 41(28):2645-2656. PMID: 32406924

Glycolysis/gluconeogenesis- and tricarboxylic acid cycle-related metabolites, Mediterranean diet, and type 2 diabetes.

Guasch-Ferré M, Santos JL, Martínez-González MA, Clish CB, Razquin C, Wang D, Liang L, Li J, Dennis C, Corella D, Muñoz-Bravo C, Romaguera D, Estruch R, Santos-Lozano JM, Castañer O, Alonso-Gómez A, Serra-Majem L, Ros E, Canudas S, Asensio EM, Fitó M, Pierce K, Martínez JA, Salas-Salvadó J, Toledo E, Hu FB, Ruiz-Canela M.

Am J Clin Nutr. 2020 04 01. 111(4):835-844. PMID: 32060497

Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis.

Merino J, Guasch-Ferré M, Ellervik C, Dashti HS, Sharp SJ, Wu P, Overvad K, Sarnowski C, Kuokkanen M, Lemaitre RN, Justice AE, Ericson U, Braun KVE, Mahendran Y, Frazier-Wood AC, Sun D, Chu AY, Tanaka T, Luan J, Hong J, Tjønneland A, Ding M, Lundqvist A, Mukamal K, Rohde R, Schulz CA, Franco OH, Grarup N, Chen YI, Bazzano L, Franks PW, Buring JE, Langenberg C, Liu CT, Hansen T, Jensen MK, Sääksjärvi K, Psaty BM, Young KL, Hindy G, Sandholt CH, Ridker PM, Ordovas JM, Meigs JB, Pedersen O, Kraft P, Perola M, North KE, Orho-Melander M, Voortman T, Toft U, Rotter JI, Qi L, Forouhi NG, Mozaffarian D, Sørensen TIA, Stampfer MJ, Männistö S, Selvin E, Imamura F, Salomaa V, Hu FB, Wareham NJ, Dupuis J, Smith CE, Kilpeläinen TO, Chasman DI, Florez JC.

BMJ. 2019 07 25. 366:l4292. PMID: 31345923


Machine learning sheds new light on how walnuts benefit health

A newly developed machine learning algorithm has uncovered information about how eating walnuts can lead to significantly lower risk of chronic diseases. The algorithm was able to analyze data from 1,833 participants of a multi-year nutrition study and…