The Montefiore Einstein Center for Health Data Innovations (CHDI) is a multidisciplinary unit directed by Parsa Mirhaji MD, PhD. The Center supports Montefiore’s learning health system and builds bridges to research and data technologies that are integrated with clinical practice. CHDI’s education and training programs are based on collaboration, patient engagement, and opportunities for trainees to participate in research. CHDI provides the expertise, methodologies, and infrastructure to leverage multi-source, heterogeneous, and linked data for evidence generation for clinical decision making, predictive analytics, and translational research.
The data analytics for Montefiore's learning healthcare system are assets for research. CHDI develops informatics technologies and links to Einstein's translational science engine in order to advance a robust evidence base and drive cutting-edge research
Parsa Mirhaji, M.D., Ph.D., Founding Director of CHDI
Parsa Mirhaji, M.D., Ph.D.
Founding Director, Center for Health Data Innovations
Research Associate Professor, Department of Systems & Computational Biology
Director, Clinical Research Informatics at Einstein and Montefiore Medical Center
Boudewijn Aasman, B.S.
Boudewijn holds a B.S in Statistics from the California Polytechnic University of San Luis Obispo. Though he is well versed in machine learning, math and statistics, Boudewijn also has extensive experience with general software engineering principles and application development. Boudewijn currently supports a variety of projects that integrate predictive analytics, data extraction and cleaning, and automated reporting.
Shilpak Banerjee, Ph.D.
Shilpak holds a Ph.D. degree in Mathematics from The Pennsylvania State University, University Park. He has knowledge of machine learning algorithms and their implementation in Python. He will be assisting in research and development of Data Science projects.
Sylvain Bouchard, M.Sc.
Sylvain holds an M.Sc. in Biomedical Engineering from Universite de Montreal, Canada. He works with the research teams to analyze their informatics needs and translate them into practical solutions. He leads the development of applications for data management. His primary focus is on creating re-usable application frameworks and integrated data systems that can serve multiple research projects. He supports the Velos Clinical Trial Management System implementation.
Viswa Gopinath, M.Comm
Viswa has a Masters of Commerce degree in Accounting from the University of Madras, India.
She has developed reusable application frameworks and integrated data systems that can serve multiple research projects. She is well versed in Oracle, SQL, and Visual Studio to create dynamic, reusable application frameworks. She also supports REDCap implementation.
Dinesh Gottipalli, M.S.
Dinesh graduated with an M.S. from University at Albany SUNY. He is proficient in traditional application development as well as in development of software based on service oriented architectures. Currently he focuses on developing dynamic, intuitive graphical user interfaces to facilitate data input, exploration, and cataloging. In his free time he enjoys solving computational challenges, exploring interesting technologies like semantic web, and watching keynotes from industry conventions.
Jeannette Lindquist, M.B.A.
Jeannette holds an MBA in Marketing from NYU Stern Business School. Jeannette has extensive experience in administrative, operations, financial and personnel issues across a variety of organizations.
Chandrahas Nelapatla, M.S.
Chandra holds an M.S. in Computer Science from University of Nebraska, Lincoln. He has extensive knowledge and expertise of EPIC systems and architecture and has undergone multiple EPIC trainings. He will apply his experience and skills in building interfaces and pipelines to and from EPIC systems for development of the Epic link to the genomic data visualization tool and building other necessary EMR/EPIC related infrastructure.
Surbhi Obeja, M.S.
Senior Bioinformatics Analyst
Surbhi has her Masters in Computer Science from Marist College, Poughkeepsie, NY. She has extensive experience as a business and data analyst, working with databases, warehouses and translating business needs to actionable data and analytics. She is also a skilled engineer with a lot of experience in applying analysis, design, programming to convert project/system requirements into applications.
Alexandre Peshansky, M.Sc.
Lead Bioinformatics Analyst
Alex holds a M.Sc. degree in Computer Sciences from the Moscow Polytechnic University, USSR. He has extensive experience in providing informatics services in health care research environments including analysis, design, programming and maintaining interactive and batch applications on different platforms and developing and maintaining a data center. He is trained with high-level data privileges within the EHR replicate workspace.
Saurabh Rawal, M.S.
Manager, Product Development Software Engineering
Saurabh has his Masters in Computer Science from Marist College, Poughkeepsie, NY. He has extensive experience leading technology teams for building enterprise grade applications in many domains. He also has extensive experience working with clinical domain models, terminologies and building informatics platforms for health data integration and analytics. He has led technology development and architecture in large health consortiums including the NYC-CDRN. He is currently leading engineering and evolution of Montefiore's SDL analytics platform.
Michoel Snow, M.D., Ph.D.
Michoel holds an M.D., Ph.D. from Albert Einstein College of Medicine, NY. His previous research centered around predictive modeling of visual processing. He has extensive experience in computational neuroscience, statistical modeling, image analysis and machine learning. He will work with investigators to develop predictive healthcare models for use in clinical practice, based on internal (vitals, lab results, notes, imaging studies, etc.) and external (demographics, transportation, weather, etc.) data.
Lindsay Stahl, M.S.
Senior Business Analyst
Lindsay holds an M.S. in Epidemiology from Columbia University and an MA in Psychology and Animal Behavior from CUNY - Hunter College. Her combined clinical and research background pair to provide an optimal training and support environment for the Looking Glass Clinical Analytics application. She has extensive experience in research in the academic, pharmaceutical and healthcare realms, which translates well into guidance and teaching for students of Looking Glass.
Manuel Wahle, M.S.
Technical Lead, Software Engineering
Manuel holds an M.S. degree in Computer Science from the RWTH Aachen University, Germany, and an M.S. in Health Informatics from the School of Biomedical Informatics in Houston, TX. He has an extensive background in the biomedical domain with publications in biomolecular visualization and information retrieval. Manuel developed a keen interest for software engineering leveraging semantic web technologies, leading to his current position as the Technical Lead of the team at Montefiore/Einstein. He is responsible for the design and architecture of the Semantic Data Lake platform, advancing the state of the art in information integration and processing, practical problem solving, and knowledge generation.
Kasra Jabbary, M.S., M.A.
Consultant - Health Economist
Kasra holds an M.A in Health Economics from the State University of New York at and a M.S in Economics Programming and System Analysis from Azad Science & Research University of Tehran, Iran. Kasra has knowledge of the health care industry and U.S health system. His primary focus is to use machine learning algorithms and their implementation in Python for Health related Analytics. Currently he focuses on developing statistical algorithms, data exploration and visualization with health care related datasets.