Submitted
5th author. Builds on the M.Tech thesis.
I'm a biomedical engineer working at the intersection of real-world evidence, AI, and computational biology. I'm currently a Global Customer Insights Associate Lead at Novo Nordisk GBS, where I work with patient-level data and build GenAI and agentic AI workflows for insight generation.
I did my M.Tech in Biomedical Engineering at IIT Bombay (CPI 9.57/10), where my thesis with Prof. Prakriti Tayalia used bulk RNA-seq and machine learning to diagnose four autoimmune diseases from blood transcriptomes. Work from that thesis is in a manuscript that is currently submitted.
Before my current role, I spent three years at Blue Matter Consulting on real-world evidence and analytics in oncology, including a framework across 8 study designs for a first-in-class targeted therapy and a 43-page internal guide to RWE methods.
For a PhD, I want to work on causal inference with observational health data; machine learning for disease diagnosis and prediction from omics data; computational approaches to drug safety.
P.S. Every project below has an interactive demo that runs in your browser. Try moving the sliders.
Submitted
5th author. Builds on the M.Tech thesis.
Supervisor: Prof. Prakriti Tayalia
I built a bulk RNA-seq pipeline on public PBMC samples from four autoimmune diseases and healthy controls, then trained classifiers to tell each disease apart from its blood transcriptome. The ANN reached an AUC of 0.97 for rheumatoid arthritis on an external test set.
An analysis of Lamin A/C and SUN2 expression in TCGA breast cancer against survival, nodal stage, and molecular subtype, including a survival cut-off analysis.
Supervisor: Prof. J Sivaraman
A 2D QSAR classifier that flags compounds likely to block the hERG channel, a common cause of drug cardiotoxicity. Models were selected for sensitivity and AUC rather than accuracy, because a missed blocker costs more than a false alarm.
Small tools that show the methods behind my work. All run in the browser on synthetic data.
Novo Nordisk GBS Global Customer Insights Associate Lead, Data Analytics and AI Strategy
Jul 2026 to Present
Bangalore
Global customer and market insights for cardiovascular lead molecules from patient-level data. I own the Patient Data Warehouse analytics and BI platform and build GenAI and agentic AI workflows for insight generation and automated reporting.
Blue Matter Consulting Associate Consultant
Aug 2024 to Jun 2026
Gurgaon
Real-world evidence and analytics in oncology: an observational framework across 8 study designs for an FDA-approved first-in-class targeted therapy, a patient treatment journey solution built on US open claims data, a revenue forecast with 100+ parameters for 6 pipeline molecules, and a 43-page internal RWE methods guide. Mentored a 10-member team and was rated Exceptional (4/4) in March 2026.
Blue Matter Consulting Associate
Jul 2023 to Aug 2024
Gurgaon
Joined as Associate; promoted in Aug 2024.
IIT Bombay M.Tech in Biomedical Engineering
Jul 2021 to Jun 2023
Mumbai
CPI 9.57/10. Thesis on RNA-seq and AI for autoimmune disease diagnosis.
Dcube Analytics Business Analyst
Jun 2021 to Dec 2021
Bangalore
Built a prescriber classification model that segments HCPs by their longitudinal prescription behavior.
Siemens Healthineers Innovation Think Tank
Nov 2020 to Apr 2021
Selected among the top 50 teams nationally and built a prototype for 3D MRI reconstruction.
CSIR In Silico Drug Discovery Intern
Jun 2020 to Aug 2020
Virtual screening of 500 COVID-19 drug candidates with docking, ADMET, and QSAR.
Apollo Hospital Biomedical Trainee
Apr 2019 to Jun 2019
Bhubaneswar
Calibration, fault diagnosis, and maintenance of hospital equipment including patient monitors, dialysis, MRI, and CT systems.
NIT Rourkela B.Tech in Biomedical Engineering
2017 to 2021
Rourkela
CGPA 8.14/10, awarded with honours. GATE 2021 Biomedical Engineering: All India Rank 46.
Reach me at sanataniitb@gmail.com or on GitHub as Sanataniitb.