Forward-Deployed Engineer · Health Data Science
HannahTeng
MSc Data Science in Health @ UCLA. I embed with clients to turn messy, real-world workflows into shipped systems — designing the frontend, translating business processes into product, and integrating with the tools teams already use.

01 / About
I turn messy clinical and business data into products people actually use — the models, the agents, and the interfaces that ship them.
3.83
GPA at UCLA
10+
Platform surfaces shipped
206×
Specialty vs. geography
4
Industries deployed
Between data science and product.
I'm a first-year MSc student in Data Science in Health at UCLA, with a Statistics background from Nottingham. I model clinical and business data — then design and ship the agents, dashboards, and interfaces that put it to work.
As a forward-deployed engineer I've embedded across four industries, run discovery directly with non-technical operators, drawn the line between where AI agents act and where humans stay in the loop, and owned the frontend that ships it. Currently building an in-platform natural-language query agent for clinical data managers at USC-ATRI.
Education
UCLA
MSc Data Science in Health
GPA 3.83 / 4.0
University of Nottingham
BSc (Hons) Int. Business & Economics / Statistics
Data Scholarship · Top 1%
02 / Experience
Where I’ve built
- ◆Designing an in-platform natural-language query agent that lets clinical data managers query large trial datasets (CSV + text) in plain English for data-quality control — replacing manual file/column lookups.
03 / Projects
Selected work
04 / Skills
What I work with
Agent / Human Boundaries · Human-in-the-loop · Workflow Decomposition · Browser Automation · Escalation Design
05 / Contact
Let’s build something.
Open to full-time data science, forward-deployed, and AI-product roles from August 2026 — plus research collaborations at the intersection of health and AI.
© 2026 Zihan (Hannah) Teng
Next.js · Three.js · GSAP · Tailwind