Meet the Staff

Dr. Susan Gregurick was appointed Associate Director for Data Science and the Director of ODSS in September 2019. Under Dr. Gregurick’s leadership and guided by the NIH’s Strategic Plan for Data Science, ODSS leads and coordinates catalytic data science activities in scientific, technical, and operational programs in collaboration with the NIH institutes, centers, and offices.

Read Dr. Gregurick’s full bio.

Dr. Belinda Seto was appointed deputy director of the ODSS in January 2020. A former deputy director of the National Eye Institute and the National Institute of Biomedical Imaging and Bioengineering, she brings a wealth of experience and knowledge to the position. After earning her Ph.D. in biochemistry from Purdue University, Dr. Seto completed a postdoctoral fellowship in the Stadtman Lab of the National Heart, Lung, and Blood Institute. She researched hepatitis B and vaccine development at the FDA. She oversaw the analysis and reporting of NIH grants data and trends through the Office of Extramural Research. Her experience in database management, analysis and extramural grants policies led her to serve on the NIH Scientific Data Council and the Scientific Data Policy Council.

Since joining NIH in 2020, Dr. Laura Biven has led the Integrated Infrastructure and Emerging Technologies (IIET) branch in ODSS. She is responsible for strategic planning, coordination, and oversight of programs that integrate independently managed, cloud data resources across the NIH to advance NIH’s vision for an integrated, FAIR biomedical data ecosystem. She also oversees multidisciplinary NIH-wide programs that focus on integrating computational, mathematical, and biomedical research communities around emerging technologies such as artificial intelligence and machine learning, (AI/ML) quantum computing, and digital twins. 

Laura co-led the development and 2021 launch of NIH’s flagship initiative in AI/ML and health equity- the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program. She served as Acting Director, overseeing the launch of new fellowship programs, regionally based outreach and research partnerships, and pilot research activities at the intersection of AI/ML and health equity.

Before joining NIH, Laura spent 12 years at the Department of Energy, where she led strategic efforts in data management and data science including the development and implementation of the department-wide data management plan requirements; the PuRE Data initiative, a new stewardship model for high-valued public data repositories; and new research opportunities to leverage DOE data and advance AI/ML. She also served as Acting Research Division Director in DOE’s Advanced Scientific Computing Research office.

Laura began her public service as an AAAS Science and Technology Policy Fellow, serving first in the U.S. Department of Agriculture and then in the Department of State. She holds a first class MSci in math and physics from the University of Bristol and a Ph.D. in applied mathematics from the University of Warwick.

Ishwar Chandramouliswaran is a Program Director and technical lead for the strategy, planning, coordination and oversight of establishing a FAIR data ecosystem at ODSS.

Prior to joining ODSS, Ishwar served as the Deputy Director and operationalized NIAID’s newly established office of data science and emerging technologies and successfully developed trans-NIAID program initiatives that focused on data reuse, research software development, and establishing a NIAID Data Ecosystem. Prior to joining NIAID, Ishwar was an Associate Director at the National Cancer Institute’s, Center for Biomedical Informatics and Information Technology and contributed to innovative programs and technology supporting open and collaborative team science to accelerate research in the cancer informatics community including the cancer genomics cloud and NCI hub projects.

His career has spanned scientific research in bioinformatics to product development in academic and commercial settings, and his work driven by both research community needs and emerging technologies. His non-governmental experience includes serving as a subject matter expert at IBM Corporation towards realizing translational science through their clinical genomics engagements with noteworthy projects at the Memorial Sloan Kettering Cancer Center (MSKCC) and the Cleveland Clinic Foundation (CCF); and as a bioinformatics scientist at The Institute for Genomic Research (TIGR) and Celera Genomics. Ishwar is one of the authors of the landmark Science publications on the sequence of the human genome and holds patents in gene discovery. Ishwar holds an MS in Biochemistry from University of Maryland at College Park and an MBA from Johns Hopkins University.

Christine Cutillo is a Health Data Scientist for AI Ethics in the Office of Data Science Strategy (ODSS), within the Integrated Infrastructure and Emerging Technologies (IIET) unit. She is responsible for multidisciplinary NIH-wide AI Ethics efforts – focusing on integrating ethics through the AI lifecycle in biomedical research applications. She is highly interested in data-driven scientific and health care innovations that are transparent, ethical, and designed for and with the patient/end user.

Prior to joining ODSS, Christine was the Data Science Lead in the Office of the Director at the National Center for Advancing Translational Sciences (NCATS) for three years. In that capacity, she worked with Offices and Divisions across NCATS to strategically plan and drive successful operations of data science activities at the Center. She joined NCATS in 2012 as a scientific program management analyst in the Division of Preclinical Innovation, working on grant coordination and submissions, education and outreach, and reporting of scientific projects and activities. She became special assistant to the director in late 2012 and worked on collaborative initiatives to advance translational science, particularly data-driven projects in the areas of rare disease and artificial/machine intelligence, international efforts to advance the science and understanding of biomedical translation through global cooperation and collaborative projects, and education-related resources to increase the awareness and understanding of translational science.

Prior to joining NCATS, she worked for four years at the National Human Genome Research Institute, tracking, and evaluating the progress of the Large-Scale Genome Sequencing Centers, in addition to working with extramural teams to manage four other programs. Christine holds a bachelor’s degree in biology and math from Georgetown University, a Master of Management in Clinical Informatics from the Duke University School of Medicine, and a certificate in project management from Georgetown University.

Dr. Alison Lin joined ODSS in 2022 to lead the Training, Workforce Initiatives and Community Engagement team. In this role, she is responsible for the planning and implementation of strategies to grow a diverse and strong data science workforce that serves all communities. Dr. Lin oversees the management of programs including the DATA National Scholar program and the Coding it Forward Civic Digital Fellow program.

Beginning in 2012, Dr. Lin served as Program Director and later Deputy and Acting Branch Chief at the Diversity Training Branch (DTB) of the National Cancer Institute’s (NCI’s) Center to Reduce Cancer Health Disparities (CRCHD). She has developed and led several significant efforts in promoting the cancer research workforce diversity both extramurally and intramurally, including the NCI Youth Enjoy Science (YES) Research Education Program (R25), the Early Investigator Advancement Program and the intramural training program iCURE. She also led the management of the diversity and re-entry and re-integration supplement programs at NCI. Prior to joining NCI, Dr. Lin served as an Instructor in Medicine at Harvard Medical School in Boston, MA. She conducted interdisciplinary research focused on understanding the molecular interactions of membrane proteins and their signaling mechanisms, particularly those that modulate the cytoskeleton. Dr. Lin received her Ph.D. in physics/biophysics from the University of California, Santa Barbara and her B.S. in physics, summa cum laude, from the University of Minnesota, Twin Cities.

Dr. Hsinyi “Steve” Tsang is the lead of the Clinical Informatics team for ODSS. In this role, he promotes the use of clinical standards, such as Fast Healthcare Interoperability Resources (FHIR), in biomedical research by developing and conducting training and education activities. Steve has spent most of the last two decades at the NIH in various capacities. Prior to joining ODSS, he was a program officer at NIAID where he administered and oversaw data science projects in immune-mediated and infectious diseases. For the broader research community, Steve has been promoting data science training as well as the use of emerging technologies including cloud computing, software containerization, and workflow management for reproducible biomedical data science research. He received a B.S. in Biochemistry from University of Maryland College Park and a Ph.D. in biology/structural bioinformatics from the Johns Hopkins University, as part of the NIH Graduate Partnerships Program (GPP).

Shu (Sue) Hui Chen received her Ph.D. in Molecular Genetics and Cellular and Developmental Physiology in 2009 from the University of Illinois at Chicago. She came to the NIH, specifically the National Institute of Allergy and Infectious Diseases (NIAID), in 2010 where her postdoctoral work focused on studying molecular and comparative genomics to investigate underlying host-pathogen interactions and factors that contribute to pathogen crossing of the blood-brain barrier.

Sue comes to us from the National Heart, Lung, and Blood Institute (NHLBI) a part of the US National Institutes of Health, where she served as the Data Access Committee Chair and Genomics Program Administrator for NHLBI. Her position focused on the Policies and Operations that feed into Data Management and Sharing for the IC including strategizing and applying solutions to enhance responsible data sharing for the IC. She specializes in genomics research programs involving infectious disease, immunology, resilience and how these factors affect heart, lung, blood, and sleep in human health and disease, while ensuring protection of human subjects. Her past experience in Patenting, Licensing, and collaborative agreements included serving on a special projects committee to re-evaluate the National Institute of Allergy and Infectious Diseases’ (NIAID) technology transfer Human Subjects Research Checklist in order to comply with the NIH Human Subjects research policy and the Common Rule (45 CFR part 46) for sharing and receiving of human samples and associated data. She is NIH IRB certified and serves on trans-NIH committees related to data sharing with regards to human subjects protections. She was also an important contributor to the NHLBI programs such as TOPMed and BioData Catalyst.

Dr. Bryan Kim has a background in health services and healthcare delivery research with a focus in generating new knowledge and translational science through data science tools and technologies to improve healthcare delivery and patient outcomes. Prior to joining ODSS, Dr. Kim served as a Program Director in the Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, at the National Cancer Institute (NCI), working on research grants that focused on healthcare delivery and outcomes research related to cancer patients and survivors living with other chronic conditions. He also served as NCI’s scientific research contact on two trans-NIH funding opportunities focused on multimorbidity research. Prior to NCI, Dr. Kim served as a Program Official within the Division of Health IT at the Agency for Healthcare Research and Quality (AHRQ). Dr. Kim received his BS in Psychology, MS in Applied Physiology and Kinesiology from the University of Florida, and PhD in Kinesiology from Temple University. He completed his postdoctoral fellowship at the Center for Health Behavior Research under Dr. Karen Glanz at the Perelman School of Medicine, University of Pennsylvania.

Rakchya Adhikari joined ODSS in 2022 to support the strategy, planning, and oversight of establishing a FAIR data and repository ecosystem, and to support ODSS in the development and oversight of programs related to data resources at NIH. Prior to joining ODSS, Rakchya worked in the healthcare space for four years, working at an individual patient level, then shifted her career working in public health contributing her efforts to research and analytics at a population level. Prior to joining, she was at the Washington D.C Department of Forensic Science, Public Health Laboratories Division, completing her preceptorship on addressing COVID-19 health disparities within the Washington District. Rakchya received her Master’s in Public Health from George Washington University and her undergraduate degree in Health Administration and Policy from George Mason University.

Nicholas Andrade is a data science training specialist for the Training, Workforce Initiatives & Community Engagement (TWICE) team. He has a background in DNA sequencing/synthesis and genetic health reporting. Prior to joining ODSS, Nicholas spent nine years working for a variety of biotech companies, most recently Invitae, as a clinical systems analyst focused on improving data infrastructure to facilitate internal production activities. He also led an EdX data science bootcamp aimed at helping students and professionals break into the field of data science. Nicholas as a B.S. in Molecular, Cellular and Developmental Biology from UC Santa Barbara.

Evelyn Botchway is a Program Analyst for the Training, Workforce Initiatives & Community Engagement (TWICE) team within ODSS. Her work involves supporting workforce initiatives to attract, recruit, and retain data science and related professionals at NIH through education outreach, fellowship training programs, pathways opportunities, and other data science community engagement resources and partnerships.

Prior to joining ODSS, Evelyn served as an administrative officer for 11 years at the National Cancer Institute (NCI) where she provided programmatic, human capital, budget, and agency-wide administrative policy support to multiple NCI programs. She also served as a program analyst for 5 years at the Office of Performance and Evaluation to coordinated NIH-wide performance reporting activities, providing statistical, organizational, analytical, and technical program management for the development of NIH-wide measures (goals, targets, & results) for the Government Performance Results Act (GPRA) and the management of NIH’s centralized performance monitoring system.

Evelyn has a B.S. in Computer Information System and a M.S. in Healthcare Administration from the University of Maryland.

Dr. Samson Gebreab joined ODSS in 2022 to lead the NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program. In his role, Samson is responsible for the overall management, oversight, coordination, and implementation of the AIM-AHEAD program and for ensuring the benefits of big data and AI/ML technologies reach across diverse populations.

Before joining ODSS, Samson was a Program Director at the NCI Center to Reduce Cancer Health Disparities (CRCHD), where he led efforts related to Partnerships to Advance Cancer Health Equity between Minority Serving Institutions and NCI-Designated Cancer Centers. Samson also led the NCI Early Investigator Advancement Program (EIAP) and Research Supplements to Promote Diversity, Reentry, and Re-integration in Cancer Research Careers.

Samson received his joint M.Sc. and Ph.D. in Statistics and Spatial Epidemiology from Utah State University. He also received his M.Sc. in Geographic Information Science from Wageningen University, the Netherlands. He completed his postdoctoral training at the University of Michigan School of Public Health.

Dr. Andrew Hasley is an analyst on the FAIR Data & Resources team. He works on the strategy, planning, and oversight of establishing a FAIR data and repository ecosystem at NIH. He is particularly interested in the intersection of FAIR and inclusive data practices.

Andrew has spent his career as a biology researcher and educator. He earned a B.A. in biology from Albion College in Albion, MI, and his Ph.D. in genetics from University of Wisconsin–Madison, where he had opportunities to learn approaches ranging from transcriptomics and bioinformatics to image analysis. He stayed at UW–Madison to study bacterial metabolic evolution as a Computation and Informatics for Biology and Medicine postdoctoral fellow.

Andrew is dedicated to making STEM more diverse, equitable, and inclusive. He is a scientist with a visual disability and has advocated for and facilitated implementation of Universal Design for Learning and other inclusive strategies into STEM education and practice. He has been an EDSIN/QUBES Open Education Community Fellow and the Assistant Director for the UDL Initiative at BIOQUEST. Most recently, Andrew was a Postdoctoral Teaching Scholar in the North Carolina State University Biotechnology program, designing and teaching courses on subjects including basic biotechnology skills, bioethics, career development, metagenomics, and environmental DNA. Beyond his professional interests, Andrew is an avid hockey fan, plays the violin, and enjoys birding, biking, and being on the water with his wife.

Snipta Mallick is a Program Analyst at ODSS. As a member of the clinical informatics team, she promotes the use of Fast Healthcare Interoperability Resources (FHIR) in clinical research by coordinating educational training activities, advancing the development of FHIR tools, and reducing data silos among NIH centers.

Prior to joining ODSS, Snipta worked as a Software Engineer at Microsoft and the National Institute of Allergy and Infectious Disease (NIAID) as a 2021 Coding it Forward Civic Digital Fellow. She earned double bachelor’s degrees in Computer Science and Cognitive Science at the University of Texas at Dallas, with concentrations in artificial intelligence/machine learning, networking, and cognitive neuroscience.

Elaine O. Nsoesie is a Senior Advisor to the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program. She was previously a Program Lead for AIM-AHEAD. She is also an associate professor at Boston University School of Public Health and a faculty lead of the Racial Data Tracker project at the Boston University Center for Antiracist Research. Elaine is a founding member of the Faculty of Computing & Data Sciences and a Data Science Faculty Fellow at Boston University. She has a Ph.D. in computational epidemiology, a M.S. in statistics, and a B.S. in mathematics. Her research focuses on the use of digital data and technology to improve health in communities globally. Prior to joining Boston University School of Public Health, Elaine was an assistant professor at the Institute for Health Metrics and Evaluation in Seattle, Washington.