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Alex Tong. Postdoctoral Fellow. Mila - Quebec AI Institute. Université de Montréal. About Me. I am a postdoc with Yoshua Bengio studying the causal discovery of cell dynamics at Mila in Montreal. This work is in collaboration with Fabian Theis through the newly formed Helmholtz International Lab, a German-Canadian collaboration.
149 *. 2021. Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics. A Tong, J Huang, G Wolf, D Van Dijk, S Krishnaswamy. International conference on machine learning, 9526-9536. , 2020. 117. 2020. A sandbox for prediction and integration of DNA, RNA, and proteins in single cells.
I am currently a full-stack software…. · Experience: The New York Times · Location: New York, New York, United States · 500+ connections on LinkedIn. View Alex Tong’s profile on LinkedIn, a...
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· Experience: Stealth · Location: United States · 500+ connections on LinkedIn. View Alex Tong’s profile on LinkedIn, a professional community of 1 billion members.
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Alex Tong - Visiting Researcher - Harvard John A. Paulson School of Engineering and Applied Sciences | LinkedIn. Visiting Researcher at Harvard, ex. Berkeley. San Ramon, California, United...
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Duke Computer Science Colloquium. Flow Models with Applications to Cell Trajectories and Protein Design. March 6, 12:00 pm - 1:00 pm. Speaker (s): Alex Tong. Lunch will be served at 11:45 AM. Abstract. Generative flow models learn a (possibly stochastic) mapping between source and target distributions.
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Conference paper. Publication. Accepted in TMLR. Also presented at Frontiers4LCD Workshop @ ICML 2023. Alex Tong. Postdoctoral Fellow. My research interests include optimal transport, graph scattering, and normalizing flows. We present methods for learning simple flows over R^d with optimal transport conditional flow matching (OT-CFM).