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James Wang
I am a fourth year student at Columbia University studying Computer Science and Applied Mathematics. I'm interested in computer vision, machine learning, and computational biology, and my current research focuses on how we can develop more secure and robust deep learning models. If you are interested in these things as well, let's chat!
Email /
CV /
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Linkedin
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Research
I am working in Columbia's Computer Vision Lab advised by Prof. Carl Vondrick with PhD student Chengzhi Mao and Columbia's Computational Biology Lab advised by Prof. Elham Azizi. Previously, I worked in Prof. Dana Pe'er's group at Memorial Sloan-Kettering Cancer Center with PhD student Yubin Xie.
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Causal Transportability for Neural Representations
Chengzhi Mao,
James Wang
Kevin Xia,
Hao Wang,
Junfeng Yang,
Elias Bareinboim,
Carl Vondrick
Paper
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Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer
Joseph M Chan,
Álvaro Quintanal-Villalonga,
Vianne Ran Gao,
Yubin Xie,
Viola Allaj,
Ojasvi Chaudhary,
Ignas Masilionis,
Jacklynn Egger,
Andrew Chow,
Thomas Walle,
Marissa Mattar,
Dig V K Yarlagadda,
James L Wang,
Fathema Uddin,
Michael Offin,
Metamia Ciampricotti,
Besnik Qeriqi,
Amber Bahr,
Elisa de Stanchina,
Umesh K Bhanot,
W Victoria Lai,
Matthew J Bott,
David R Jones,
Arvin Ruiz,
Marina K Baine,
Yanyun Li,
Natasha Rekhtman,
John T Poirier,
Tal Nawy,
Triparna Sen,
Linas Mazutis,
Travis J Hollmann,
Dana Pe'er,
Charles M Rudin
Cancer Cell, 2021
Paper
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I enjoy teaching and have been working with Prof. Tony Dear and Prof. Peter Belhumeur for the following courses:
- COMS 3251: Computational Linear Algebra (Spring 2021)
- COMS 4701: Artificial Intelligence (Summer 2021)
- COMS 4733: Computational Aspects of Robotics (Fall 2021)
- COMS 4995: Deep Learning for Computer Vision (Fall 2020, Fall 2021)
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