I am an Associate Professor of Practice in Health Informatics with a Ph.D. in Systems Biology (Harvard Medical School), an MSE in Computer and Information Science, an MS in Chemistry, and a BA in Biochemistry (summa cum laude, Phi Beta Kappa; NDSEG fellowship). My work spans digital health (mHealth, mobile health), bioinformatics, wearables, EHR (electronic health record) data science, and AI/ML (artificial intelligence and machine learning). I have published in Nature, Cell Metabolism, The...
I am an Associate Professor of Practice in Health Informatics with a Ph.D. in Systems Biology (Harvard Medical School), an MSE in Computer and Information Science, an MS in Chemistry, and a BA in Biochemistry (summa cum laude, Phi Beta Kappa; NDSEG fellowship). My work spans digital health (mHealth, mobile health), bioinformatics, wearables, EHR (electronic health record) data science, and AI/ML (artificial intelligence and machine learning). I have published in Nature, Cell Metabolism, The Lancet Digital Health, and JACC Advances. I tutor middle school, high school, and college students in math, science, coding, and academic writing with a focus on clear reasoning and reproducible methods.
I teach undergraduate and master’s courses in Health Informatics, Research Design, and Data Science, and I have mentored learners from high school through postdoctoral training. I offer one-on-one, small-group, and project-based support. Typical subjects include Algebra through Calculus, Biology, Chemistry, Physics fundamentals, Statistics and probability, Research methods, and programming in Python, R, and SQL. I also coach scientific writing, study skills, and time management.
Professionally, I have led digital health programs in academia and industry, including remote trials (DCT, decentralized clinical trials), wearable-derived digital biomarkers, and mobile interventions. I have managed cross-functional teams and worked within medical-device quality systems (21 CFR 820, ISO 13485, IEC 62304). What sets me apart is the bridge from theory to practice: I help students design experiments, clean and analyze data, and build end-to-end solutions that are well documented, testable, and ready for real-world use. My tutoring style is patient, structured, and goal oriented.