Current team

Li Zhou, MD, PhD, FACMI, FAMIA is Associate Professor of Medicine at Harvard Medical School and Lead Investigator at the Brigham and Women’s Hospital. She earned her PhD in Biomedical Informatics at Columbia University and then served as a Senior Medical Informatician at Massachusetts General Brigham (formerly Partners HealthCare System) for over ten years. Her research has focused on temporal reasoning, natural language processing, knowledge management and clinical decision support. She has served as Principal Investigator on numerous research projects funded by AHRQ, NIH, and CRICO/RMF. She is an Associate Editor for International Journal of Medical Informatics and serves on the AMIA Board of Directors. In her free time, she enjoys traveling with her family to discover the world. She also likes hiking and swimming. LinkedIn
Suzanne Blackley is a computational linguist working primarily on the development of an error-correction system for dictated clinical notes and on clinical information extraction using natural language processing. She received an M.A. in computational linguistics from Brandeis University in 2016, and a B.A. in linguistics and B.S. in brain & cognitive sciences from the University of Rochester in 2014. In addition to the above, she is also interested in the use of NLP for the identification and reduction of healthcare disparities. In her free time, she enjoys reading, watching and playing sports, and being outdoors.
Frank Chang is a Senior Software Engineer in the Clinical and Quality Analysis department at Partners HealthCare. He holds an M.S.E. degree in Software Engineering. Mr. Chang has more than 19 years of experience in web/database development and software service implementation. He has been involved in diverse research and development projects in clinical informatics, Patient Safety and EHR design and development. Mr. Chang coauthored numerous research articles published in JAMA, Archives of Internal Medicine, JAMIA, JBI and other leading journals and conference proceedings in the field of clinical informatics. Frank’s current areas of interest include natural language processing, standard medical terminology, mobile computing, and machine learning technology for the ambulatory electronic medical record systems.

Zafania Tom Korach is a physician with an MD from Tel-Aviv University. After completing his studies, he practiced general medicine before moving to medical informatics for health-care organizations. Later he worked in the medical informatics industry in health information exchange, terminologies and knowledge management and business intelligence. In his free time he enjoys physical exercise, photography and programming.

Sachin Vallamkonda is completing a B.A. in Child Studies and Human Development with a concentration in Family Health/Well-Being in 2020. He is currently a research assistant within the lab assisting with the allergy and EHR project. Sachin plans on matriculating to Tufts University School of Medicine in Fall of 2021. In his free time, he enjoys performing with his cultural dance team Tufts JumboRaas and hiking with friends.

Sharmitha Yerneni has received a B.S. in Biology and Psychology from Tufts University in 2019. Sharmitha is a full-time research assistant for the team and is primarily working on the allergy project to improve allergy documentation and clinical decision support in the EHR. She will matriculate into Tufts University School of Medicine in Fall 2020 to pursue her MD degree. In her free time, Sharmitha enjoys hiking, traveling and cooking.
Kenneth Lai is a computational linguist working on the application of natural language processing methods to information extraction from medical text. He earned his bachelor’s degree in linguistics and chemistry at Dartmouth College and his master’s degree in computational linguistics at Brandeis University. He is currently pursuing his PhD degree in computational linguistics at Brandeis University. His interests also include using novel machine learning methods to discover new knowledge from large data sets. In his free time, Ken likes hiking, playing video games, and cuddling with his stuffed animals.
Carlos Ortega has a BS in Behavioral Neuroscience from Northeastern University. Carlos was a full-time research assistant with the team and is currently pursuing his MD degree from Vanderbilt University School of Medicine. His ongoing research with the team includes allergy reconciliation within the electronic health record. In his free time, he enjoys attending music concerts, athletics, and traveling.
Joseph Plasek, PhD is a health data scientist and clinical informatician with a focus on applying natural language processing, machine learning, deep learning, and dynamic systems theory techniques to medicine. He began his career here a decade ago as a research assistant building MTERMS 1.0, stepped back a bit to gain additional training and real-world industry experience, and has returned full time as a postdoctoral research fellow. He received his PhD in Biomedical Informatics from the University of Utah, and a MS in Health Informatics and BS in Computer Science from the University of Minnesota. Pre-COVID-19, he could often be found on the dance floor dancing West Coast Swing, East Coast Swing, Zouk, or Ballroom.

Liqin Wang, Ph.D. is a research fellow at Brigham and Women’s Hospital and Harvard Medical School. She has research interests in data mining of large clinical and biomedical literature datasets, clinical natural language processing, biomedical ontologies, and clinical decision supports. She works closely with physicians and pharmacists towards improving patient outcome in areas of chronic diseases, palliative care, and drug safety. Before joining the team, she earned a Ph.D. in Biomedical Informatics from University of Utah, an M.S. in Biomedical Engineering from Zhejiang University, and a B.E. in Electromechanical Engineering from Xidian University. In her free time, she enjoys hiking, reading, and cooking.
Ying-Chih (Paul) Lo, MD, PhD is a research fellow at Brigham and Women’s Hospital and Harvard Medical School. Due to his background as a nephrologist and PhD of biomedical informatics, he is enthusiastic in the application of data science and machine learning technique in the medical field. Before joining the MTERMS Lab, he conducted several medical image research projects related to renal pathology and ophthalmological images using convolutional neural network and generative adversarial network. In addition, he also worked with his colleagues in Taiwan to build and implement a real-time early warning dashboard system in hospital for detecting deterioration of inpatient with machine learning and deep learning. Currently, he focus on the projects related to drug safety, outcome prediction for chronic diseases patients and palliative care.
John Laurentiev is a computational linguist currently doing work in natural language processing for a number of MTERMS team research projects, primarily those relating to palliative care and cognitive decline. John earned his B.S. in mathematics with a minor in computer science at Rensselaer Polytechnic Institute in 2012 and spent several years working in research administration at Boston Children’s Hospital before receiving his M.S. in computational linguistics at Brandeis University in 2020. In his free time, John enjoys traveling, playing video games, and studying new languages.
Maryam Tavakoli is a postdoctoral research fellow at Brigham and Women’s Hospital. Her research focuses on the machine and deep learning methods for information extraction from heterogeneous clinical data modalities, and integration in an interpretable and efficient way. She earned her PhD at UNC Charlotte, with a dissertation on heterogeneous feature integration for regression in multimodal healthcare applications, and experience in multiple other academic and industrial projects. She received her master’s in Artificial Intelligence and Robotics from Isfahan University of Technology, and her bachelor’s in Software Engineering from the University of Isfahan. She enjoys spending time with friends, hiking, and reading novels & history books in her spare time.
Yen-Po (Harvey) Chin, MD is a research fellow at Brigham and Women’s Hospital and Harvard Medical School. He was a clinician at Taipei Medical University Hospital, an awardee of National Innovation Award in Clinical Medicine, a mentor at MIT Hacking Medicine, and also a member of the venture incubation program at Harvard Innovation Labs (2019). Previously, he has co-developed deep learning-based application for melanoma screening on smartphone. Currently, he focuses on improving patient safety and healthcare quality through informatics approach.
Fiji is an Emergency physician at University of Colorado Health. He was a research fellow in biomedical informatics at Harvard Medical School. He is interested in patient safety, clinical informatics, care-coordination/transitions in care, natural language processing and electronic health records, allergy modeling and information. His research focuses on both decision analysis and quality of care, as it relates to patient safety, communication and coordination of care.
Wasim is an internal medicine physician, and a recent graduate of the biomedical informatics department at Harvard Medical School. In his research, Wasim focused on clinical decision support. More specifically, he aims to use machine learning for the development, implementation and support of clinical decision support tools. His work on clinical decision support will be presented at AMIA 2017. He continues to build clinical decision support tools using various tools and databases.
Maxim (Max) Topaz  is a nurse and health informatician passionate about using data science and artificial intelligence to improve human health. His particular focus is on clinical decision support, standardized health terminologies, and data and text mining. In the past, Max was involved with health policy (national and international levels), leadership (e.g. Chair of the Students Working Group with International Medical Informatics Association) and health entrepreneurship. Max also has clinical experience in internal and urgent medicine. He received his Masters and Baccalaureate degrees from the University of Haifa, PhD from the University of Pennsylvania. He completed a postdoctoral fellowship at the Harvard Medical School and Brigham Women’s Hospital. Max is involved with multiple projects at the MTERMS lab, including allergy and immunology text processing, malpractice claims analytics, care coordination and several nursing informatics specific projects (wounds and self-care text analytics). max is currently a Senior Lecturer at the University of Haifa, Israel and a research fellow with MTERMS team.  Max is an aspiring triathlete and he like to swim-bike-run in his spare time and also read science fiction books.



Former team members

Fenny Chang, RN (2009-2010)
Dana DiMaggio, PharmD (2011)
Neelam Zafar, MD, MHA, MS (2011-2012)
Joseph Plasek, MS, PhD candidate (2011-2012; 2013-2014)
Stephan Skentzos, MS (2012-2013)
Yifan Lu, MD, MPH (2012-2013)
Jason Lau, MS, medical student (2013-2014)
Qoua Her, PharmD, MS (2012-2014)
Anastasiya Shakurova, PharmD (2012-2014)
Neil Dhopeshwarkar, PharmD (2013-2018)
Manasi Vartak, PhD (2014)
Martin Fehrenbach, MS (2014-2015)
Victor Lei, PharmD (2014-2017)
Kevin Lai, PharmD (2014-2017)
Feiran Zhong (2014-2015)
Warren Acker, medical student (2015-2016)
Sean Bethard (2015)
Su Lin Blodgett, PhD candidate (2015)
Ni Yin, MD, PhD (2015)
Avani Patel, PharmD (2015-2016)
Adrian Wong, PharmD, MS (2015-2017)
Raymond Doan, PharmD (2015-2017)
Clay Riley, MA (2016-2017)
Jessica Huynh, MA (2016-2017)
Leigh Kowalski, Ms, Medical Student (2016-2018)
Valerie Schubert, MS, International graduate student (2019)
Long Sha (2017-2019)
Harry Reyes Nieva (2018-2019)
Jie Yang (2018-2020)

Current and Past Co-investigators and Collaborators

Shiri Assis-Hassid, PhD
Aleena Banerji , MD
David Bates, MD, MSc
Rachelle E. Bernacki, MD
Kimberly Blumenthal, MD, MS
Sarah Collins, PhD, RN
Francis Deng, MD
Patricia Dykes, PhD, RN
Jonathan Einbinder, MD
Foster Goss, DO, MMSc
Jennifer Haas, MD
Pengyu Hong, PhD
Neelima Karipineni, MD, MMSc
Joshua Lakin, MD
Joshua Lin, MD
Marie M. Meteer, PhD
Sarah Rossetti, RN, PhD
Sarah Slight, PharmD
Adam Schaffer, MD
Joji Suzuki, MD
Sonam Shah, PharmD
Maxim Topaz, PhD, RN
Paige Wickner, MD

Team photos