Director of Data Science & AI
- Lead AI capabilities for financial data enrichment, cleaning, categorization, and analysis.
- Established software/data best practices across the org; designed SDK for financial data backtesting.
Director of Data Science & AI • NYC
Glen Ferguson
PhD (Physical Chemistry) • ex‑Argonne & NREL • startup builder • Navy veteran. I lead high‑impact ML orgs and stay hands‑on with Python and SQL.
LLMs & Agents
MLOps
Healthcare • SaaS • Scientific Modeling • Finance
About
Accomplished AI leader across healthcare, finance, SaaS, and scientific modeling. Comfortable from AI strategy to hands‑on modeling, deployment, and evaluation. Trusted partner to execs; builder of pragmatic teams and platforms. I believe in the power of AI to make a profound impact, and I’m committed to being at the forefront of this evolution. Let’s connect to explore how we can shape the future through the transformative power of AI.
Industries: Healthcare, Finance, SaaS, Research
Location: Great Neck, NY (NYC metro)
Fast Facts
PhD, Physical Chemistry
Hands‑on ML leader
Ex‑NREL & Argonne
U.S. Navy veteran
Experience
Associate Director of Data Science
- Directed DS function delivering custom solutions for pharma/biotech; scaled CoE with ~3× opp growth.
- Built LLM/ML pipelines incl. agentic workflows to automate complex processes aiming 2× throughput.
- Led study‑finish‑time risk prediction to improve delivery; partnered to enhance enrollment.
Director of AI/ML
- Built AI/ML org & platforms (CI/CD, IaC) enabling 2× dev velocity; cost‑optimized, extensible systems.
- Scaled flagship product to 400k req/day (capacity: millions); improved retention >40%.
- Launched KB search; set portfolio roadmap for AI division.
Principal Data Scientist
- Expanded services 1→3; led AI strategy; deployed cloud recommender for health plans.
Lead / Senior Data Scientist
- Cut bad predictions 5× with time‑series clustering to route model strategies.
- Reduced demand‑planning runtime from ~2 days to ~2 hours using cloud‑native pipelines.
Data Scientist / AI Engineer
- Built production recommender for a fitness client; large‑scale web automation for K‑12 network.
Data Scientist / Instructor of Medicine
- CV for ARDS detection; NLP from radiology reports for JIT notifications; ops models to cut missed appointments.
Associate Director (Data Science & Digital Health)
- Managed ~$5M in grants; led programs to identify disease‑progression markers.
Engineer III (Postdoc)
- Statistical methods over 30k+ materials; supported ARPA‑E battery discovery initiatives.
Scientist III (Postdoc)
- Developed modeling methods and materials prediction approaches.
Selected Projects
Agentic Automation for Clinical Ops
LLM‑driven agentic workflows across multiple systems to disambiguate steps and double throughput targets.
Agents • LLM • Automation
High‑Scale ML Platform at Huckleberry
Cost‑optimized, extensible ML stack handling 400k req/day; CI/CD + IaC; retention lift >40%.
MLOps • Platform • Scale
Health Plan Recommender
Deployed cloud solution recommending plans; paved way for client’s DS division.
Recommenders • Cloud • Healthcare
ARDS CV & Radiology NLP
Computer vision classifier and NLP JIT notifications from free‑text reports to aid care delivery.
CV • NLP • Healthcare
Skills
Coding
- Python
- SQL
- Bash
ML/AI
- LLMs/Agents
- Standard ML
- Time‑series
- Recsys
Systems
- Ray
- K8s
- Git
- MLflow
Databases
- Postgres/pgvector
- BigQuery
- ChromaDB
- MongoDB
MLOps
- Pulumi/Terraform
- Docker
- CI/CD (CircleCI)
- IaC
Domains
- Healthcare SaaS
- Pharma
- Finance