Computer Science PhD Student at MIT and Senior Engineering Manager at Microsoft
About
I am a PhD student in William T Freeman's lab at the MIT Computer Science & Artificial Intelligence Laboratory. I am also a Senior Engineer Manager on the Microsoft Synapse Analytics team. I am interested in discovering "structure" in complex systems using unsupervised learning and large foundation models. I value working on projects for social, cultural, and environmental good and aim to use ML to empower scientific discovery.
International Conference on Learning Representations (ICLR) 2022
Computational framework for evaluating risk trade-offs in costs associated with legionnaires' disease risk, energy, and scalding risk for hospital hot water systems
Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman
NeurIPs 2020 Demonstration
It Is Likely That Your Loss Should be a Likelihood
Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, ChangYoung Park
Proceedings of Machine Learning Research 2017
Heuristic Models Outperform Traditional Discounting Utility Models Across Multiple Discounting and Reward Types
Simple and elastically distributed machine learning, microservice orchestration, and model deployment. SynapseML simplifies the creation of production grade ML pipelines across Python, Scala, Java, and R.
Art is one of the few languages which transcends barriers of country, culture, and time. MosAIc is an algorithm that can help discover the common semantic elements of art even between any culture, media, artist, or collection within the combined artworks of The Metropolitan Museum of Art and The Rijksmusem.
