# Apoorva Srinivasan

- **Website:** <https://apoorva-srinivasan.com>
- **Primary alias:** `apoorva-srinivasan.com`

## Description

Apoorva Srinivasan is a dedicated researcher at Tatonetti Lab within the Cedars-Sinai Computational Biology Department, specializing in innovative drug repurposing methods tailored for rare diseases. With a strong background in machine learning and biostatistics, Apoorva applies large language models (LLMs) to enhance various biomedical and healthcare applications. Her previous experience includes contributions to Intervenn, a liquid biopsy startup, where she developed advanced algorithms for early cancer detection leveraging glycoproteomics data. Additionally, she conducted research on digital phenotyping of depression at Columbia University, utilizing passive sensor data from smartphones. Holding a Master's degree in Biostatistics from Columbia and a degree in Biotech Engineering from the Manipal Institute of Technology, Apoorva combines her academic insights with a passion for teaching yoga and enjoying literature. You can follow her academic journey and insights on platforms like Twitter and LinkedIn, making her a well-rounded individual both professionally and personally.

## Industries

- ⛑ Health
- ⛑ Biotechnology and Pharmaceuticals _(under Health)_
- 🧪 Science and Education
- 🧪 Biology _(under Science and Education)_

## Links

- [twitter](https://twitter.com/@apoorvasriniva)

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idXWioMtcy/w/820/h/820/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1722634865368)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idXWioMtcy/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1722634865501)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Rose | #ff1a75 | accent |
| Cod Gray | #1a1a1a | dark |
| White | #ffffff | light |

## Fonts

- var(--font-serif) — asset _(custom)_
- var(--font-serif) — asset _(custom)_

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_Source: <https://brandfetch.com/apoorva-srinivasan.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._