Grace Chan
Assistant Professor

Grace Chan

Assistant Professor in the Department of Epidemiology


Other Positions

Assistant Professor of Pediatrics


Boston Children's Hospital


Professor Chan's research focuses on advancing maternal newborn and child health by using epidemiological methods to discover and deliver evidence-based interventions.

Professor Chan studies the causes of maternal and child mortality, stillbirths, and preterm birth. In partnership with the Ethiopian Public Health Institute, she leads HaSET (“happiness” in Amharic), a program for maternal and child health research in Ethiopia. With colleagues at St. Paul’s Hospital Millennium Medical College, her team established a health and demographic surveillance system in rural Ethiopia to better understand the causes of maternal and child morbidity and mortality.

Research projects focus on understanding the etiologies of neonatal sepsis, antimicrobial resistance patterns among pregnant women and their newborns, and mechanisms for adverse birth outcomes. Collaborating with the World Health Organization, she is developing strategies to accelerate effective implementation of Kangaroo Mother Care for preterm newborns and designing studies to develop modified antibiotic regimens for hospitalized newborns. She has evaluated newborn survival projects and trained health care workers on essential newborn care practices in India, Indonesia, Tanzania, and Ethiopia. Professor Chan was an NIH Clinical Research Scholar at Johns Hopkins where she collaborated with the International Centre for Diarrheal Disease Research in Bangladesh to estimate the risk of early-onset neonatal sepsis from maternal infections in Dhaka.

BA, Biology/Psychology
Harvard College, Cambridge, MA

MPH, Biostatistics/Epidemiology
Johns Hopkins Bloomberg School of Public Health, Baltimore, MD

MD, Medicine
Harvard Medical School, Boston, MA

PhD, Clinical Investigation
Johns Hopkins Bloomberg School of Public Health, Baltimore, MD

Residency, Pediatrics
Boston Children's Hospital, Boston, MA

International Centre of Diarrheal Disease Research, Bangladesh, Dhaka, Bangladesh


Effects of antibiotic resistance, drug target attainment, bacterial pathogenicity and virulence, and antibiotic access and affordability on outcomes in neonatal sepsis: an international microbiology and drug evaluation prospective substudy (BARNARDS).

Thomson KM, Dyer C, Liu F, Sands K, Portal E, Carvalho MJ, Barrell M, Boostrom I, Dunachie S, Farzana R, Ferreira A, Frayne F, Hassan B, Jones E, Jones L, Mathias J, Milton R, Rees J, Chan GJ, Bekele D, Mahlet A, Basu S, Nandy RK, Saha B, Iregbu K, Modibbo F, Uwaezuoke S, Zahra R, Shirazi H, Syed NU, Mazarati JB, Rucogoza A, Gaju L, Mehtar S, Bulabula ANH, Whitelaw A, van Hasselt JGC, Walsh TR.

Lancet Infect Dis. 2021 Aug 09. PMID: 34384533

Characterization of antimicrobial-resistant Gram-negative bacteria that cause neonatal sepsis in seven low- and middle-income countries.

Sands K, Carvalho MJ, Portal E, Thomson K, Dyer C, Akpulu C, Andrews R, Ferreira A, Gillespie D, Hender T, Hood K, Mathias J, Milton R, Nieto M, Taiyari K, Chan GJ, Bekele D, Solomon S, Basu S, Chattopadhyay P, Mukherjee S, Iregbu K, Modibbo F, Uwaezuoke S, Zahra R, Shirazi H, Muhammad A, Mazarati JB, Rucogoza A, Gaju L, Mehtar S, Bulabula ANH, Whitelaw A, Walsh TR.

Nat Microbiol. 2021 04. 6(4):512-523. PMID: 33782558

Kangaroo Mother Care implementation research to develop models for accelerating scale-up in India and Ethiopia: study protocol for an adequacy evaluation.

Medhanyie AA, Alemu H, Asefa A, Beyene SA, Gebregizabher FA, Aziz K, Bhandari N, Beyene H, Brune T, Chan G, Cranmer JN, Darmstadt G, Duguma D, Fikre A, Andualem BG, Gobezayehu AG, Mariam DH, Abay TH, Mohan HL, Jadaun A, Jayanna K, Kajal FNU, Kar A, Krishna R, Kumar A, Kumar V, Madhur TK, Belew ML, M R, Martines J, Mazumder S, Amin H, Mony PK, Muleta M, Pileggi-Castro C, Pn Rao S, Estifanos AS, Sibley LM, Singhal N, Tadele H, Tariku A, Lemango ET, Tadesse BT, Upadhyay R, Worku B, Hadush MY, Bahl R.

BMJ Open. 2019 11 21. 9(11):e025879. PMID: 31753865