---
title: "Human Stories in AI: Tommy Tang"
url: https://daily.dev/posts/human-stories-in-ai-tommy-tang-dglaah6cp
source_url: https://www.youtube.com/watch?v=JV0S5f89-Q4
type: video:youtube
source: "StatQuest with Josh Starmer"
published: 2026-05-31T07:43:47.293Z
updated: 2026-05-31T07:56:50.200Z
tags: ["machine-learning", "biotech", "random-forest"]
reading_time: 36
upvotes: 0
comments: 0
language: en
---

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# Human Stories in AI: Tommy Tang

**[StatQuest with Josh Starmer](https://daily.dev/sources/statquest)** · 36 min read · 0 upvotes · 0 comments

## Summary

Tommy Tang, Director of Computational Biology at Immunitas Therapeutics, shares his career journey from a low-income childhood in China to leading computational biology at a cancer immunotherapy company. He describes how he self-taught computational skills during his PhD, progressed through postdocs at MD Anderson and Harvard, and eventually led NIH-funded cancer immunology data projects at Dana-Farber. At Immunitas, he uses single-cell RNA sequencing, TCR sequencing, and machine learning methods like logistic regression and random forests on Google Cloud to identify new therapeutic targets for cancer. He also discusses the biology of T-cell expansion, PD-1 immune checkpoints, and the challenges of cell type annotation in single-cell data. He closes with advice on learning meta-skills: read, watch tutorials, apply to real problems, and teach others.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=JV0S5f89-Q4>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#biotech](https://daily.dev/tags/biotech), [#random-forest](https://daily.dev/tags/random-forest)

[View this post on daily.dev](https://daily.dev/posts/human-stories-in-ai-tommy-tang-dglaah6cp)