Jan-Christian Hütter


I study and develop statistical procedures that are efficient both from an information-theoretic and a practical point of view. In particular, I aim to address challenges in the analysis of biological sequencing data, such as the need to match unpaired data and integrate large scale perturbation experiments into interpretable models. To achieve this, I harness mathematical and statistical methods such as statistical optimal transport, structure learning, and structure-promoting penalization.

Currently, I am a Postdoctoral Researcher in the Regev group at the Broad Institute. I obtained my PhD at MIT in 2019 under the supervision of Philippe Rigollet.


In articles without equal joint authorship, an asterisk (*) next to the name indicates that the author is co-first.


Journal articles

Piotr Bielecki*, Samantha J. Riesenfeld*, Jan-Christian Hütter*, Elena Torlai Triglia*, Monika S. Kowalczyk, Roberto R. Ricardo-Gonzalez, Maria C. Amezcua Vesely, Lina Kroehling, Michal Slyper, Christoph Muus, Leif S. Ludwig, Elena Christian, Liming Tao, Amanda J. Kedaigle, Holly R. Steach, Autumn G. York, Mathias H. Skadow, Parastou Yaghoubi, Danielle Dionne, Abigail Jarret, Heather M. McGee, Caroline B. M. Porter, Paula Licona-Limón, Will Bailis, Ruaidhri P. Jackson, Nicola Gagliani, Richard M. Locksley, Aviv Regev, and Richard A. Flavell
Nature, 2021
Jan-Christian Hütter and Philippe Rigollet
Annals of Statistics, to Appear, 2020 [Arxiv]
Jan-Christian Hütter, Cheng Mao, Philippe Rigollet, and Elina Robeva
Electronic Journal of Statistics 14, no. 2 (2020): 2600–2652 [Arxiv]
Jan-Christian Hütter, Cheng Mao, Philippe Rigollet, and Elina Robeva
Bernoulli 26, no. 4 (2020): 3051–80 [Arxiv]
Massimo Fornasier and Jan-Christian Hütter
Journal of Fourier Analysis and Applications 22, no. 3 (2016): 694–749 [Arxiv]
Marco Di Francesco, Massimo Fornasier, Jan-Christian Hütter, and Daniel Matthes
SIAM Journal on Mathematical Analysis 46, no. 6 (2014): 3814–37 [Arxiv]

Conference articles

Jan-Christian Hütter and Philippe Rigollet
In Conference on Uncertainty in Artificial Intelligence (UAI), 1169–78, 2020 [Arxiv]
Aden Forrow, Jan-Christian Hütter, Mor Nitzan, Philippe Rigollet, Geoffrey Schiebinger, and Jonathan Weed
In The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 2454–65. Proceedings of Machine Learning Research, 2019 [Arxiv]
Jan-Christian Hütter and Philippe Rigollet
In Conference on Learning Theory (COLT), 1115–46, 2016 [Arxiv]


Past teaching