Mingxuan Zhang@mingZedh

PhD in progress@Columbia University. Generative and Geometric Deep Learning | Theory of Generative Models | Cancer Systems Biology

 Manhattan, NY
Joined August 2023
Mingxuan Zhang retweeted
Lingting Shi@shi_lingting
Oct 5
🧬 What can we really learn from a perturbation data? Can #AI uncover how perturbations are related, what they affect downstream, how effects change with context—and what about combinatorial? Introducing SHERLOCK🕵️ led by @mingZedh, Josh Myers&I @joselmcfaline, @elhamazizi 🧵👇
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Mingxuan Zhang retweeted
Khushi Desai@khushipde
Mar 8
1/ I’m excited to share recent work on a scalable and generalizable causal discovery framework from @mingZedh, me and @sophokevl, supervised by @elhamazizi. Open the thread 🧵 for a brief tweetorial of our method. arXiv link: arxiv.org/abs/2603.03411v1.

Scalable Contrastive Causal Discovery under Unknown Soft Interventions

Observational causal discovery is only identifiable up to the Markov equivalence class. While interventions can reduce this ambiguity, in practice interventions are often soft with multiple...

arxiv.org
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Mingxuan Zhang retweeted
Khushi Desai@khushipde
25 Sep 2025
1/ I’m excited to share recent work on inferring cell-cell interactions using attention by @justjhong and me, supervised by @elhamazizi. Open the thread 🧵for a brief tweetorial of our method. bioRxiv link: biorxiv.org/content/10.1101/…
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