Soohyun Kim
New York,NY
Summary
Data scientist with a PhD in Biostatistics and experience driving data-informed decision-making for digital health interventions serving large and diverse user populations. Although trained in academia, extensive experience writing and contributing to multi-million-dollar NIH grant proposals has involved developing study strategy, defining success metrics, forecasting impact, and communicating analytical plans to secure competitive funding—an experience analogous to data-driven business case development. Expertise in product analytics, experimentation, causal inference, and machine learning for behavioral and engagement optimization. Proven ability to translate complex analyses into clear recommendations for cross-functional stakeholders and to lead end-to-end analytics for randomized experiments and large-scale longitudinal data.
Overview
5
5
years of professional experience
Work History
Data Science Trainee
Center for Research and Education on Aging and Tec
New York, New York
11.2025 - Current
- Support analytics for NIH-funded digital platform focused on social connection and mental health for community-living older adults.
- Identify behavioral drivers of engagement and retention across product features.
- Collaborate with UX and intervention teams to translate data insights into product improvements.
Postdoctoral Associate
Weill Cornell Medicine – Department of Population
New York, NY
11.2023 - Current
- Lead analytics strategy for digital health interventions targeting older adults, informing product design and feature prioritization for engagement and retention.
- Partner with product, engineering, clinicians, and behavioral scientists to define product goals, success metrics, and experimentation roadmaps.
- Design and analyze randomized controlled trials (N≈250–300) to evaluate product impact on user outcomes and engagement.
- Develop scalable models to infer user engagement states from high-frequency behavioral and passive data, enabling personalized product interventions.
- Conduct large-scale longitudinal analyses using Python/R and SQL-style data workflows on intensive time-series and behavioral datasets.
- Translate complex analyses into leadership-level presentations that inform grant funding decisions, study design, and product development priorities.
- Lead development of statistical analysis plans, forecasting scenarios, and power analyses for multi-year federally funded initiatives.
- Mentor graduate students and junior analysts; coordinate analytics workstreams across interdisciplinary teams.
Research Assistant
Columbia University
New York, New York
09.2020 - 10.2023
- Led development of machine learning models for large-scale ecological momentary assessment (EMA) data (high-frequency user-level behavioral data).
- Built predictive models to identify user subgroups and personalize interventions.
- Developed a causal estimation framework that integrates data across multiple studies, improving statistical power and enabling more robust cross-study inference.
- Communicated findings to clinical, technical, and leadership stakeholders to guide intervention design.
- Contributed to multiple collaborative projects across research, clinical, and technical teams.
Education
Ph.D. - Biostatistics
Columbia University
New York08-2023
Bachelor of Arts - Mathematics, Economics
Mount Holyoke College
South Hadley05-2016
Skills
- machine learning
- data analysis
- statistical modeling
- randomized controlled trials
- user engagement strategies
- product design
- mentorship and training
- data visualization
- Deep learning
- longitudinal studies
- Recurrent neural networks
- Time series analysis
- Neural networks
- Random forests
- Support vector machines
- Simulation modeling
Languages
English
Native/ Bilingual
Korean
Native/ Bilingual
French
Professional
Accomplishments
Biostatistics Ph.D. Fellowship, Columbia University
Test Scores
- SAT: 2350 (Reading: 800, Math: 790, Writing: 760)
- GRE: 335 (Verbal Reasoning: 165, Quantitative Reasoning: 170)
Timeline
Data Science Trainee
Center for Research and Education on Aging and Tec
11.2025 - Current
Postdoctoral Associate
Weill Cornell Medicine – Department of Population
11.2023 - Current
Research Assistant
Columbia University
09.2020 - 10.2023
Ph.D. - Biostatistics
Columbia University
Bachelor of Arts - Mathematics, Economics
Mount Holyoke College