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.
Glen Ferguson, PhD
Glen holds a PhD from Indiana University Bloomington and has extensive experience at working on a variety of computational projects at the National Renewable Energy Laboratory in Golden, CO and Argonne National Laboratory in Lemont, IL. His previous research explored computational modeling of nanoelectronics, catalysts, and energy storage systems. At CHDI he uses machine learning to develop predictive models that optimize medical logistics.
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.
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 Buffalo and an 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.
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.
Manager, Software Engineering
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.
Technical Director, 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.
Mahendranath Reddy, M.Tech.
Senior Bioinformatics Analyst
Mahendranath holds an MTech Degree in Electrical Engineering from National Institute of Technology Calicut, India. He has extensive experience in designing and building data warehouse and reporting applications. He works with the research teams and applies his experience and skills in building interfaces and pipelines. He has knowledge of machine learning algorithms and their implementation in Python. He will be assisting in research and development of Data Science projects.
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.
Datla Vishnu Raju, MPH
Senior Bioinformatics Analyst
Vishnu holds a Masters in Public Health from Johns Hopkins University and a B.S. in Computer Science from the University of Michigan. He has extensive experience creating websites for data management and visualization. He also supports REDCap implementation.
Nagaraj Reddy Thumukuntla, M.S.
Nagaraj holds an MS degree in Electrical and Computer Engineering from Southern Illinois University, Carbondale, IL. He has experience in Systems Administration, maintaining a security compliance environment, providing engineering solutions and implementing different tools and monitoring solutions. He is passionate about technology and learning new things.
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.