About Me
Healthcare data scientist and operations researcher with 10+ years bridging rigorous technical methods with real-world impact — from IIT Guwahati to the CDC, always asking: "How does this help real people?"
Hi, I'm Sidd! 👋
I'm a healthcare data scientist passionate about making healthcare more human-centered, equitable, and accessible. Every model I build, every analysis I conduct is guided by one question: "How does this help real people?"
Currently:
- 📍 Based in Baltimore, MD (regularly around the DMV area)
- 🏥 Building microsimulation models for policy impacts at CDC's NCIPC (via Booz Allen)
- 🤖 Exploring autonomous machine intelligence and its implications
- ⚛️ Learning quantum computing (leveraging my statistical mechanics background)
- 🤔 Wrestling with the ethics of unchecked technological progress
- 📊 Applying Industrial Engineering/OR to public health policy modeling
My Journey
From optimizing perishable goods supply chains in India to building AI models for U.S. healthcare policy — each step has deepened my commitment to using data for human good.
B.Tech. in Mechanical Engineering
2013
IIT Guwahati - Developed hub-and-spoke optimization model using CPLEX for perishable goods supply chains
M.S. in Industrial Engineering
2015
SUNY Buffalo - Researched generalized Sequential Stochastic Assignment Problems with stochastic job values, arrivals, and worker availability
Research Intern at Air Force Research Lab
Summer 2015
Fort Walton Beach, FL - Developed theory for generalized SSAP with multi-dimensional stochasticity
Ph.D. in Industrial & Systems Engineering
2015-2020
NC State University - Built optimization & simulation models for nurse workload-aware patient routing (NSF SEPSIS grant) and colorectal cancer microsimulation (CPCRN)
Postdoctoral Research Fellow at MedStar Health
2020-2021
Developed COVID detection models for wearables, queueing models for vaccination clinics, and co-PI on DC DBH substance use disorder grant
Data Scientist at NIH All of Us
2021-2022
First Data Scientist for Office of Data & Analytics - Improved data quality pipelines, researched health of SGM populations and COVID impacts on Hispanic communities
Lead Scientist at Booz Allen (ARPA-H)
2022-2023
Reviewed AI/ML healthcare program manager applications and provided subject matter expertise
Senior Lead Scientist at Booz Allen (FDA)
2023-2024
Built time series forecasting models for medical devices and disaster scenario simulations for FDA's Office of Supply Chain Resilience
Senior Lead Scientist at Booz Allen (CDC)
2024-Present
Building microsimulation models for policy impacts at National Center for Injury Prevention and Control
B.Tech. in Mechanical Engineering
2013
IIT Guwahati - Developed hub-and-spoke optimization model using CPLEX for perishable goods supply chains
M.S. in Industrial Engineering
2015
SUNY Buffalo - Researched generalized Sequential Stochastic Assignment Problems with stochastic job values, arrivals, and worker availability
Research Intern at Air Force Research Lab
Summer 2015
Fort Walton Beach, FL - Developed theory for generalized SSAP with multi-dimensional stochasticity
Ph.D. in Industrial & Systems Engineering
2015-2020
NC State University - Built optimization & simulation models for nurse workload-aware patient routing (NSF SEPSIS grant) and colorectal cancer microsimulation (CPCRN)
Postdoctoral Research Fellow at MedStar Health
2020-2021
Developed COVID detection models for wearables, queueing models for vaccination clinics, and co-PI on DC DBH substance use disorder grant
Data Scientist at NIH All of Us
2021-2022
First Data Scientist for Office of Data & Analytics - Improved data quality pipelines, researched health of SGM populations and COVID impacts on Hispanic communities
Lead Scientist at Booz Allen (ARPA-H)
2022-2023
Reviewed AI/ML healthcare program manager applications and provided subject matter expertise
Senior Lead Scientist at Booz Allen (FDA)
2023-2024
Built time series forecasting models for medical devices and disaster scenario simulations for FDA's Office of Supply Chain Resilience
Senior Lead Scientist at Booz Allen (CDC)
2024-Present
Building microsimulation models for policy impacts at National Center for Injury Prevention and Control
Skills & Expertise
Healthcare Analytics
- ▸ Systems Simulation
- ▸ Disease Modeling
- ▸ Health Policy Analysis
- ▸ Population Health
AI & Machine Learning
- ▸ Time Series Forecasting
- ▸ Predictive Modeling
- ▸ Natural Language Processing
- ▸ Model Interpretability
Technical
- ▸ Python
- ▸ R
- ▸ SQL
- ▸ Cloud Computing
- ▸ Statistical Analysis
- ▸ Operations Research
Domain Expertise
- ▸ Medical Device Supply Chains
- ▸ Health Equity
- ▸ Clinical Decision Support
- ▸ Regulatory Science
A Bit More Personal
Living with my wonderful wife Elizabeth and our two cats, Charm and Stella (and forever missing our sweet Carly 🤍).
My academic roots are in Industrial Engineering & Operations Research, but I'm fascinated by anything at the intersection of humanity and technology.
I'm genuinely excited about AI's possibilities while deeply concerned about ensuring it serves humanity's best interests. It's this tension that drives much of my thinking these days.
Finding that my mechanical engineering background in statistical mechanics keeps proving surprisingly useful in quantum computing – who knew thermodynamics would circle back into my life this way?
Above all, I believe that technology should enhance human connection, not replace it. Every model, every analysis, every line of code should ultimately make someone's life better.
Let's Connect!
Whether you want to discuss healthcare analytics, debate the merits of different optimization algorithms, or explore new research ideas, I'd love to hear from you!
Say Hello