Data Science / ML / AI in healthcare
BioIntelliSense
Data Scientist — wearable health
- Led development of a core body temperature algorithm from skin and ambient temperature streams — a physics-informed thermal model feeding a regularized regression, validated against clinical reference measurements.
- Benchmarked vendor and in-house temperature models on clinical trial data with Bland–Altman and correlation analyses, informing algorithm selection.
- Built clinical outcomes analyses on large-scale EMR data: propensity-score matching, Poisson models for mortality and length of stay, and reusable comorbidity mappings from CMS reference tables.
- Prototyped on/off-body detection, sleep/wake classification, and cuffless blood pressure estimation from multimodal wearable signals.
time-seriesbiosensorsPythonDatabricks
Lore Health / Sequelae PH
Machine Learning Scientist — NLP & topic modeling
- Designed and productionized topic models that distill community conversations on the Lore Health platform into featured central ideas.
- Built models describing how conversations evolve — abstract vs. concrete ideas, sharing an experience vs. asking for others’.
- Automated human-in-the-loop annotation and data pipelines with Snorkel, SQL Server, and Airflow, working alongside writers and developers.
- Contributed to internal text-processing and cloud utility packages.
NLPtopic modelsGCPAirflow
Globe Telecom
Insighting Expert — Advanced Analytics
- Developed an algorithm to spatially aggregate cell-site activity and features from raw coordinates.
- Presented spatial analysis findings to senior leadership through Tableau dashboards.
geospatialPythonTableau
UP National Institute of Physics
Lecturer (part-time)
- Taught introductory electromagnetism lectures and laboratory courses to undergraduates, online.
teaching
OptumLabs / UnitedHealth Group R&D
Data Scientist
- Explored user reviews of a newly acquired health app using NLP.
- Built a Type 2 diabetes risk classifier from economic and health factors, benchmarked against existing literature.
- Helped develop an SIRD epidemiological model for COVID-19 testing-cost strategy, and built the backend of a public testing-strategy simulator.
- Started as a Data Scientist Apprentice in the BPI–UHG Data Science training program (2019).
BigQueryPythonR