Sid Prabhu

Siddhant Prabhu

Senior Director & Head of FounData, Novo Nordisk · Copenhagen, Denmark

Siddhant Prabhu

I lead the AI and data foundation behind Novo Nordisk's clinical research — turning 200,000+ patient-years of trial data into products that get better medicines to patients faster.


Now

What I'm building now

I lead FounData — Novo Nordisk's clinical data foundation, spanning roughly 300 clinical trials and over 200,000 patient-years of cardiometabolic trial data, real-world evidence, and research insights.

My team of experts from 10+ countries pairs that governed data backbone with production AI agents so our medical experts can go from question to insight in minutes instead of weeks — with the science kept firmly in the loop.


What I do

Three things I focus on

AI & Data Products for R&D

Building production AI agents and interactive, conversational tools that put governed clinical data directly into the hands of scientists — replacing static reports with real-time, evidence-led decision support.

Clinical Data Foundations

Standardising, tagging, and governing clinical trial data at scale so it's portable across studies, modalities, and geographies — the unglamorous groundwork that makes trustworthy AI possible.

Leading Cross-Functional Teams

Building and leading multidisciplinary teams across science, engineering, statistics, and data governance. The magic happens at the interface — small teams that bridge domains drive the most impact.


Selected work

Things I've built

FounData — clinical data foundation & AI products

2024 — present

Novo Nordisk

Founded and now head the data foundation housing 200,000+ patient-years of clinical trial data, built to power AI-driven insight generation across R&D.

Impact — First AI-powered product live; underpins partnerships with OpenAI and Microsoft, and next-generation sub-population analysis using AI agents.

Quantitative decision-support agents for R&D

2025

Novo Nordisk × Microsoft

Helped build governed, production-ready AI agents that let scientists explore indications and refine study designs against real clinical data, live.

Impact — Featured by Microsoft; teams report a 10x increase in hypotheses evaluated, with answers in minutes instead of weeks.

Read the Microsoft story

Clinical data review & harmonization platform

2018 — 2022

Deloitte Consulting

Led strategy and implementation of a clinical data review solution and harmonization pipelines for a top biopharma company, working across data scientists, remote monitors, and safety teams to build submission-ready datasets.

Impact — Recognised with multiple Applause awards for client and internal engagement.

GIFT — HIV diagnostic commercialization

2017

University of Cape Town

Helped commercialize a diagnostic tool designed to reduce the burden of HIV in South Africa.

Impact — The GIFT test is now available in South Africa.


In the press

Featured & referenced


What people say

In their words

Sid has demonstrated an incredible knowledge of clinical data, which has been a cornerstone of our success. His ability to provide help and guidance consistently makes him my go-to person for advice.
Engineering Lead, Global Pharmaceutical Company
You've created a psychologically safe atmosphere across the team, making it a true joy to work in the Data Strategy and Insights team.
Specialist, Global Pharmaceutical Company
Sid is one of the best people I've had as a partner. His ability to tackle any problem is remarkable — and with a warm smile. Innovative, organised, and always open to ideas.
Associate Product Director, Pharmaceutical Company

Speaking & credentials

On stage & on paper

Recent talks

  • Databricks Data + AI World Tour — Executive ForumStockholm

    Advancing Data & AI in life sciences, to Nordic CIOs and CDOs.

  • Microsoft AI TourCopenhagen

    Quantitative decision-support agents for pharma R&D.

  • BiotechX EuropeBasel

    Harmonized data foundations powering AI initiatives.

  • PHUSE EU ConnectHamburg

    The value of clinical trial data: from submission to innovation.

Education & publications

  • AI in Pharma & Biotech Executive Program — MIT Sloan School of Management
  • M.S. Biotechnology — Northwestern University (GPA 3.85/4.00)
  • B.Tech. Pharmaceutical Sciences & Technology — Institute of Chemical Technology, Mumbai (Best Student, 2016)
  • Synthesis of zinc oxide nanostructures using orange peel oil for chitosan–zinc oxide composite films” — Journal of Polymer Research, 2020
  • Predicting novel substrates for enzymes with minimal experimental effort with active learning” — Metabolic Engineering, 2017

Building something at the intersection of AI, data, and medicine? I'd love to talk.

siddhantprabhu94@gmail.com