The Computational Health Informatics Program (CHIP) at Boston Children’s Hospital hosts a training program for postdoctoral fellows to be trained in Informatics, Genomics, Machine Learning, Artificial Intelligence, and Biomedical Data Science. The program is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) at the National Institutes of Health (T32HD040128-16) and is open to US citizens and permanent residents.
CHIP, an affiliate of Harvard Medical School and a collaborating program of the Harvard Medical School Department of Biomedical Informatics, is recruiting postdoctoral fellows. Founded in 1994, CHIP is a multidisciplinary applied research and education program. Biomedical informatics has become a major theme and methodology for biomedical science, health care delivery, and population health, involving high-dimensional modeling and understanding of patients from the molecular to the population levels. We design information infrastructure for medical decision making, diagnosis, care redesign, public health management, and re-imagined clinical trials. The field is inherently interdisciplinary, drawing on traditional biomedical disciplines, the science and technology of computing, data science, biostatistics, epidemiology, decision theory, omics, implementation science, and health care policy and management. Our faculty are trained in medicine, data science, computer science, mathematics and epidemiology. Our faculty have been featured in The New York Times, Wall Street Journal, ABC News, CNBC, Bloomberg, CNN, Forbes, Financial Times, NBC News, GQ Magazine, U.S. News & World Report, Politico, and BBC News for their expertise on COVID-19.
We seek outstanding candidates passionate about advancing the ability to acquire and then reason over an entire spectrum of data types ranging from molecular and genomic all the way to clinical, epidemiological, environmental and social. Focus areas may include, but are not limited to research applications of machine learning/AI including COVID-19, medical applications of machine learning/AI including clinical decision support and predictive medicine, genomic and precision medicine, population health, health IT architectures and standards (e.g. SMART on FHIR apps and infrastructure), re-imagined clinical trials, real-world evidence, data visualization, and integrative omics. Candidates should have strong quantitative backgrounds.
Over the past two decades, the program has trained a mix of MDs and PhDs. More than 90 percent have gone on to receive independent funding in faculty positions in academic medicine.
Informatics and Genomics
Michael Agus, MD is HMS Associate Professor of Pediatrics and BCH Division Chief, Division of Medicine Critical Care; Endowed Chair in Critical Care; Medical Director, Medicine Intensive Care Unit and Intermediate Care Program; and Co-Medical Director, Biocontainment Unit. His research utilizes data from continuous glucose monitoring paired with advanced computer algorithm-based modeling techniques to generate therapy recommendations for tight glycemic control. He is PI for NIH-funded R01 grants, including national multi-center trials. His research program provides access to trial design, grant writing, colleagues and patients, forming a sound basis for new studies by an affiliated trainee.
Paul Avillach, MD is HMS Assistant Professor of Biomedical Informatics and Faculty in CHIP at BCH. He focuses on the development of novel methods for integrating of multiple heterogeneous clinic cohorts, EHRs, and multiple types of genomics data to encompass biological observations. Avillach has extensive federal funding, leading informatics cores on projects of major national significance, including the BD2K PIC-SURE Center of Excellence and the Global Rare Diseases Registry project. Trainees under his mentorship can develop projects using multiscale, multi-omics databases developed from our BCH populations, including patients with rare and common diseases seen in the ED.
Alan Beggs, PhD is the Sir Edwin and Lady Manton Professor of Pediatrics at HMS, and the Director of the Manton Center for Orphan Disease Research at BCH. His research focuses on the molecular genetics of inherited diseases, particularly muscular dystrophies, many of which present in the ED with acute complications. He is one of the foremost investigators in the area of mutations that cause congenital myopathies and a former Investigator of the Howard Hughes Medical Institute. He has mentored numerous post-doctoral trainees, include multiple previous K-awardees.
William Bosl, PhD is HMS Visiting Associate Professor and Faculty in CHIP at BCH. He has two PhDs, in Physics and Neurocognition. His primary research focus is in clinical neurophysiology and neuro-diagnostics, using EEG signal processing. Fellows working with Dr. Bosl can investigate digital biomarker-based assessments of patients in the ED with seizures.
Florence Bourgeois, MD, MPH is HMS Associate Professor of Pediatrics (Pending) and Assistant Professor of Emergency Medicine and Faculty in CHIP at BCH. She has expertise and a strong publication track record using multiple national databases pertinent to emergency care, including The National Hospital Ambulatory Medical Care Survey (NHAMCS) and ClinicalTrials.gov. She has held multiple R grants. Her trainees can participate in her many projects on the regulatory science of pediatric pharmaceuticals or PEM-related epidemiological research. She was trained in this program.
John S. Brownstein, PhD is HMS Professor of Pediatrics and Biomedical Informatics. He directs the Computational Epidemiology Group of CHIP at BCH, and is the BCH Chief Innovation Officer. He has had a rich tapestry of funding from the NIH, industry, and major foundations such as The Bill and Melinda Gates Foundation. He was awarded the Presidential Early Career Award for Scientists and Engineers and leads major international efforts in informatics and social-media-based infectious disease surveillance. He did his postdoctoral fellowship at CHIP.
Tianxi Cai, ScD is a John Rock Professor of Population and Translational Data Sciences at the Harvard T.H. Chan School of Public Health. Dr. Cai’s current research interests are mainly in the area of biomarker evaluation; model selection and validation; prediction methods; personalized medicine in disease diagnosis, prognosis and treatment; statistical inference with high dimensional data; and survival analysis.
William (Bill) La Cava, PhD is a faculty member in the Computational Health Informatics Program (CHIP) at Boston Children’s Hospital and Harvard Medical School and directs the Cava Laboratory. He received his PhD from UMass Amherst with a focus on interpretable modeling of dynamical systems. Prior to joining CHIP, he was a post-doctoral fellow and research associate in the Institute for Biomedical Informatics at the University of Pennsylvania.
Felix Dietlein, PhD is is a faculty member of the Computational Health Informatics Program and Harvard Medical School.
Jonathan Finkelstein, MD, MPH is HMS Professor of Pediatrics and Population Medicine and Co-Director of the Harvard Pediatric Health Services Research Fellowship Program. He is a winner of the HMS Clifford A. Barger Award for Excellence in Mentoring. He is also Vice President of Quality for BCH. He has particular methodological expertise in study designs and analytic approaches needed to translate evidence to the clinical care setting. He is PI on two NIH T32 grants and an AHRQ K12. Dr. Finkelstein will provide strong synergy between the health services research program and the PEMRTP program.
Nils Gehlenbord, PhD received his PhD from the University of Cambridge and was a predoctoral fellow at the European Bioinformatics Institute (EMBL-EBI). The goal of Gehlenborg’s research is to improve human health by developing computational techniques and interfaces that enable scientists and clinicians to efficiently interact with biomedical data. Tight integration of algorithmic approaches from biomedical informatics with advanced data visualization techniques is central to his efforts, as is close collaboration with clinicians and experimentalists. Currently, Gehlenborg is researching and developing novel tools to visualize heterogeneous data from large-scale cancer genomics studies such as The Cancer Genome Atlas, integrating visual and computational approaches to support sense-making in biology, and using software to support reproducible collaborative research in epigenomics and genomics.
Donald Goldmann, MD is Clinical Professor of Pediatrics at BCH. He is a senior leader of the Institute for Health Care Improvement, founded by Don Berwick, past director of the Centers for Medicaid and Medicare Services (CMS). Dr. Goldman has been Director of the Harvard-wide Child Health Services Research Training Program since 1995. As a trans-disciplinary mentor, Dr. Goldmann will participate on mentorship teams where informatics and genomics projects have a health services component in care delivery, quality improvement, or evaluation, and provide synergy through shared didactics. Importantly, the Health Services Research program is located on the same floor as the laboratory of the PI, Dr. Mandl, providing a solid geographic basis for collaboration.
Robert Green, MD, MPH is Associate Professor of Medicine at Brigham and Women’s Hospital and HMS, and the Associate Director of the Partners Center for Personalized Genetic Medicine. His work explores emerging themes in translational genomics such as the impact of genetic and genomic information on the lives of people who receive this information, and on the practice of medicine. Dr. Green is a Fellow of the American Neuropsychiatric Association. He has a K24 mentoring award and considerable experience mentoring Fellows and junior faculty in patient-oriented research. He holds multiple R and U grants and provides an outstanding opportunity for PEMRTP fellows to study the role of whole exome sequencing in the evaluation of conditions presenting to EDs.
Bruce Horwitz, MD, PhD a PEM physician, is an Associate Professor of Pediatrics at BCH and HMS. His lab is internationally recognized for work in NF kappaB signaling, a central modulator of innate immune responses. A key focus is on innate immunity to bacteria, a central problem in PEM in diseases induced by acute inflammatory response (e.g., pneumonia, cellulitis, and abscesses). His laboratory provides outstanding opportunities for fellows to investigate the role of innate immunity in conditions frequently presenting to the ED, such as appendicitis, diverticulitis, and inflammatory bowel disease.
Louis Kunkel, PhD is HMS Professor of Pediatrics and Genetics and a former Investigator of the Howard Hughes Medical Institute. Dr. Kunkel’s research focuses on the molecular biology of genetic muscular dystrophies and autism spectrum disorders. He is internationally known for identifying the Duchenne-Becker muscular dystrophy gene dystrophin.Kunkel is a member of the National Academy of Sciences. Dr. Kunkel has trained approximately 50 Fellows over the past 30 years, including the current President of Tufts University. Most have of his former fellows now have academic positions, and the majority of those who were clinical now have physician-scientist roles. Fellows in his laboratory will study genetic contributions to diseases presenting to the ED.
Richard Malley, MD trained as a pediatric emergency physician. He is HMS Professor of Pediatrics and the Kenneth McIntosh Chair, Pediatric Infectious Diseasesat BCH. His laboratory is focused on pneumococcal pathogenesis and novel vaccine strategies for Streptococcus pneumoniae and other pathogens. He has had extensive federal and foundation funding. His trainees will study vaccine development for diseases commonly seen in the pediatric ED.
Rebekah Mannix, MD, MPH is HMS Assistant Professor of Pediatrics and Emergency Medicine, and Faculty in the Division of Emergency Medicine at BCH. Her laboratory studies both animal models of closed head injury and the epidemiology and clinical management of concussion. She is PI of a U01. Fellows under her mentorship will study closed head injury. She herself completed a PEMRTP postdoctoral fellowship.
Arjun (Rai) Manrai, PhD is an Assistant Professor at Harvard Medical School and Faculty in CHIP at Boston Children’s. Dr. Manrai has a PhD in Bioinformatics and Integrative Genomics from the Harvard-MIT Division of Health Sciences and Technology. His primary research focus is in cardiovascular medicine, genomics, machine learning, meta-science, and statistical methods.
Tim Miller, PhD is HMS Assistant Professor of Pediatrics (Pending) and Faculty in CHIP at BCH. He is a leader in the basic science of natural language processing (NLP) of medical text. He adapts NLP to new domains and holds R01 funding. Trainees in his program work on computational phenotyping, temporal information extraction, or text summarization. Dr. Miller completed his postdoctoral training at CHIP.
Chirag Patel, PhD is HMS Assistant Professor of Biomedical Informatics and a new DBMI faculty member for this cycle. He is developing bioinformatics approaches extracting knowledge from large-scale environmental exposure and genomic data spanning from molecules to populations. He is one of multiple PIs of an NIDDK training program and has R01, R00, and R21 funding. Trainees under Dr. Patel can work on environmental influences and genetic interactions leading to acute illnesses.
Benjamin Raby, MD, MPH is HMS Associate Professor of Medicine, and recently appointed Pulmonary Medicine Division Chief at BCH. He is an investigator at the Channing Laboratory studying the genomics of asthma. He developed gene expression signatures for asthma-associated traits and methods to facilitate quantitative trait locus (QTL) mapping. These efforts resulted in the identification of regulatory variants that influence the expression of 1,585 genes, including novel asthma susceptibility variants, and the development of a pipeline to functionally characterize the identified asthma genes. Fellows in his laboratory will have access to highly characterized asthma cohorts for genomic study.
Ben Reis, PhD is HMS Assistant Professor of Pediatrics and leads the Predictive Medicine Group of CHIP at BCH. He uses advanced computational techniques to analyze large health care databases with the goal of predicting clinical and public health risks. He holds multiple R01s and has been recognized for his work with an award from the White House. Fellows working with Dr. Reis can develop a wide range of predictive modeling projects focused on topics such as clinical risk, drug safety, or public health outbreaks. Or they can develop novel methods for using social networks to identify or monitor public health trends. Reis is a successful mentor and was himself a postdoctoral fellow at CHIP.
Guergana Savova, PhD is HMS Associate Professor of Pediatrics, and Senior Faculty in CHIP at BCH. She is an international leader in the field of natural language processing, and developed the leading medically-related pipeline for NLP, cTakes, which is the only top level open source project in the Apache Foundation. She holds multiple R01s. Trainees in her program work on computational phenotyping, temporal information extraction, or medical text summarization.
Sebastian Schneeweiss, MD, ScD is Professor of Medicine and Epidemiology at Harvard Medical School and Chief of the Division of Pharmacoepidemiology and Pharmacoeconomics in the Department of Medicine, Brigham and Women’s Hospital. His research focuses on the comparative effectiveness and safety of biopharmaceuticals and developing methods to reach causal conclusions from analyzing complex healthcare databases (NASEM video). He focuses on newly marketed medications and how real-world evidence can be generated expeditiously at highest quality without compromising the accuracy of findings. He teaches courses in principled database analytics in pharmacoepidemiology at Harvard and in Europe.
Griffin Weber, MD, PhD is HMS Associate Professor of Biomedical Informatics and Associate Professor of Medicine at Beth Israel Deaconess Medical Center. He developed a novel approach to studying health systems across multiple scales, called health system dynamics, which involves reasoning over multiple scales of biomedical informatics data, including EHR and claims data. He completed his postdoctoral training at HMS DBMI.
Michael Whalen, MD is Associate Professor of Pediatric Critical Care Medicine at the Massachusetts General Hospital. His laboratory studies the molecular basis for traumatic brain injury, including concussion, and participates in the Pediatric Emergency Care Applied Research Network. He has held multiple investigator awards from the NIH and a Department of Defense award. He has successfully mentored two of our trainees, one during his fellowship and the other as she transitions to independence. He continues to provide a laboratory for the study of concussion and closed head injury.
Kenneth D. Mandl, MD, MPH directs the Computational Health Informatics Program at Boston Children's Hospital and is the Donald A.B. Lindberg Professor of Pediatrics and Professor of Biomedical Informatics at Harvard Medical School. His work at the intersection of population and individual health has had a unique and sustained influence on the developing field of biomedical informatics. He was a pioneer of the first personally controlled health record systems, crowdsourcing patient knowledge from social media, and real time biosurveillance. Mandl co-developed SMART, a widely-adopted approach to enable a health app written once to access digital data and run anywhere in the healthcare system. Recently the 21st Century Cures Act made SMART a universal property of the healthcare system, enabling innovators to rapidly reach market-scale and patients and doctors to access data and an “app store for health.” He applies open source inventions to lead EHR research networks and is a leader of the Genomics Research and Innovation Network. Mandl was advisor to two Directors of the CDC and chaired the Board of Scientific Counselors of the NIH’s National Library of Medicine. He has been elected to multiple honor societies including the American Society for Clinical Investigation, Society for Pediatric Research, American College of Medical Informatics and American Pediatric Society. He received the Presidential Early Career Award for Scientists and Engineers and the Donald A.B. Lindberg Award for Innovation in Informatics.
Informatics Track Director
Isaac Kohane, MD, PhD directs the HMS Department of Biomedical Informatics and is the Marion V. Nelson Professor of Biomedical Informatics. He is also Faculty in CHIP at BCH. Dr. Kohane is an internationally recognized leader in biomedical informatics, heading up collaborations at HMS and its hospital affiliates in the application of genomics and computer science in medicine. He leads the Coordinating Center for the NIH Undiagnosed Disease Network, and a Center for Excellence in Genomic Science. Kohane is a prolific and award-winning mentor who has received the highest recognition for mentoring at HMS, the William H. Silen Lifetime Achievement in Mentoring Award. He was also the founding PI of the pre-doctoral Bioinformatics and Integrated Genomics training program.
Genomics Track Director
Joel Hirschhorn, MD, PhD is the Concordia Professor of Pediatrics and Professor of Genetics at HMS, a Senior Associate Member of the Broad Institute, and Division Chief of Endocrinology at BCH. He has been a leader in shaping the design of genome-wide association studies to understand the genetic basis of polygenic traits and diseases, including asthma. He was awarded the American Pediatric Society’s Norman J. Siegel New Member Outstanding Science Award and the Society for Pediatrics Research E. Mead Johnson Award. His trainees can apply genetic, computational, and genomic methods to acute care populations.
Applications are open, and admissions are available on a rolling basis.
Citizens or permanent residents of the United States enrolled in a research doctoral, research postdoctoral, clinical doctoral, or clinical postdoctoral are eligible to apply. Preference will be given to candidates who have, or are seeking, board certification in pediatric emergency medicine, or who have research interests that are aligned with CHIP’s core research areas.
The program has been committed to recruiting and retaining postdoctoral trainees who are URiM. We have maintained our commitment to diversity through prioritizing applications from diverse and disadvantaged backgrounds. Women and underrepresented minority groups are strongly encouraged to apply.