healthcare × ai × strategy

Anya Sikri

Building AI for healthcare & life sciences.

Building the infrastructure health systems need to deploy generative AI safely. UC Berkeley Data Science & Bioengineering alum; previously at Rigel Pharmaceuticals, PwC, and Abbott.

6
Industry & research roles
200+
Pharma patents mapped
60+
Health-tech startups evaluated
8
M&A targets assessed

Three ways into the same problem

GenAI for Clinical Data

Product and engineering for AI on clinical data — patient safety narratives from structured data, LLM eval infrastructure, and governance that keeps genAI honest in regulated settings.

Rigel Pharmaceuticals · PwC

Bench-to-Data Biology

Cancer drug screening with patient-derived organoids, scRNA-seq pipelines, and ML models on real patient datasets — where the biology meets the data.

Innovative Genomics Institute · UCSF · Stanford

Biotech Strategy & Investing

Due diligence on pharma acquisitions, biotech equity research across drug cycles, and matching health-tech startups with the right investors.

Abbott · Ishara Investments · Health Engine

Experience

2023 — present
Rigel Pharmaceuticals logo
Aug 2025 - Jul 2026

Built an AI-powered system that auto-generates patient safety narratives from structured clinical data, cutting manual drafting time. Deployed using AWS for clinical team.

Python · OpenAI API · AWS · SQLite

Health Engine logo

Analyst · Health Engine

Dec 2024 - Present

UC Berkeley's healthcare startup accelerator. Building semantic search engine using vector embeddings and FAISS to match startups with investors, while evaluating 60+ cohort startups for product-market fit

Python · MongoDB · FAISS · SentenceTransformer

PwC logo

Engineering Intern · PwC

Summer 2025

Deployed LLM eval infrastructure on SageMaker to benchmark model performance across accuracy, hallucination rate, latency, and more; pipeline processed 100+ test cases and informed model selection from Bedrock catalog.

AWS Bedrock · Sagemaker · Airflow · dbt

Ishara

Tech Research Analyst Intern · Ishara Investments

Aug - Dec 2025

Analyzed 20+ public biotech equities, built investment dashboard and financial models to identify drug cycle inflection points, synthesizing FDA filings into actionable investment memos

Financial Modeling · SQL · Research

Abbott logo

Data Science & Strategy Intern · Abbott

Aug - Dec 2024

Led due diligence on 8 pharma acquisition targets, building valuation frameworks and presenting scorecards that synthesized clinical, financial, and competitive data

Python · SQL · Tableau · Financial Analysis

Stanford Clinical Research (SCCR) logo

Data Science Intern · Stanford Clinical Research (SCCR)

Summer 2023

Mapped competitive landscapes across 200+ pharmaceutical patents, identifying whitespace in therapeutic areas to inform AI-driven drug development strategy

Python · Data Analysis · Market Research

Projects

SREACT
SAE Narrative Generator screenshot

SAE Narrative Generator

LIVESYNTHETIC DATA ONLY

Clinical-style UI for drafting serious adverse event narratives from structured case data — the interface pattern behind my Rigel work, rebuilt as a standalone demo on synthetic patient cases.

React · LLMs · Clinical Safety

RREACT
Regulatory Intelligence Dashboard screenshot

Regulatory Intelligence Dashboard

LIVESYNTHETIC PORTFOLIO

Regulatory intelligence for a biotech portfolio on one screen: submission states, a catalyst runway timeline, and program-level regulatory events. Built on an invented portfolio.

React · Regulatory Ops · Data Viz

DPYTHON
Drug Script Analysis Tool screenshot

Drug Script Analysis Tool

LIVESYNTHETIC DATA

Prescription trend analyzer that compares Week-over-Week and Z-Score methods side-by-side, with drug-maturity-aware thresholds and holiday-adjusted baselines. Ships as a Streamlit web app, CLI, and Colab notebook with interactive Plotly dashboards.

Python · Streamlit · Plotly · Pandas

The Berkeley chapter

Clubs & organizations

Healthcare consulting for Bay Area health-tech companies and healthcare organizations

UC Berkeley's healthcare startup accelerator, supporting 60+ health-tech startups

Organized workshops and led a team of 8 on ML competition projects

Research & academic

Quantitative Biology Intern

Cancer drug screening research using patient-derived organoid models. Built data processing pipelines for fluorescence analysis, developed automated cell-sorting tools, and applied clustering/dimensionality reduction to identify treatment effects on cell behavior.

Python · FlowJo · scRNA-seq · Clustering

UCSF Singhal LaboratoryAug 2022 - Jan 2023

Data Science Research Intern

Analyzed 20 COVID-19 genetic datasets to identify disease variable correlations. Built ML model to forecast seizures in COVID-19 patients with 80% accuracy. Presented findings to neurologists and researchers.

Python · ML · KNN Imputation · Dimensionality Reduction

Let's talk.

Always open to interesting conversations and opportunities in healthcare, biotech, and AI.

anya sikri · built with next.js, tailwind & framer motion