Machine Learning to Accelerate biology (MLAB)

Welcome to MLAB hosted by the Debora Marks Lab. For the past two years, the lab has hosted a journal club in which we invite speakers with expertise in interesting methods and biological problems, with the goal of finding novel connections between theory and application. We now want to make these meetings open to the community to expand the opportunities for learning and collaboration. 

The series will feature speakers that span our interests as a lab, including (but certainly not limited to): protein design and engineering; fitness landscape estimation; protein and RNA structure; single cell RNAseq; whole genome modeling; viral evolution; clinical pathogenicity prediction and more applications to come! All the speakers share a common theme of novel statistical and machine learning methods that solve or have the potential to solve biological problems. 

The talks will be informal in nature so we highly encourage discussion and questions!

To receive room info and the zoom link for the seminar please fill out this form to be added to the MLAB mailing list

To request to present please email: jake_reardon@hms.harvard.edu

UPCOMING Speakers:

Date Speaker, Lab
01/17/2025 Amy Lu, UC Berkeley, Abbeel Lab
01/24/2025 Jean-Philippe Julien, University of Toronto & Sickkids Research Institute
01/31/2025 Maria Carreira, MIT, Davis Lab
02/07/2025 David Herreros, Universidad Autonoma de Madrid, CSIC, Carazo and Sorzano Labs


Past Speakers:

Date Speaker, Lab
12/13/2024 Christopher Frank, Technische Universität München
12/05/2024 Willow Coyote-Maestas, UC San Francisco, & Pranam Chatterjee, Duke University
11/22/2024 Sidney Lisanza, University of Washington, Baker Lab
11/15/2024 Katharina Waury, Vrije Universiteit Amsterdam
11/06/2024 Sriram Garg, Max Planck Institute for Terrestrial Microbiology
11/01/2024 Eli Weinstein, Columbia University, Blei Lab
10/25/2024 Ziyi Zhou, Shanghai Jiao Tong University
10/18/2024 Aaron Schmidt, Schmidt Lab
10/04/2024 Agustinus Kristiadi, The Vector Institute
09/27/2024 Robert Schmirler, Technical University of Munich
09/13/2024 Wenhao Wu, University of Michigan
09/06/2024 Jason Yang, California Institute of Technology, Arnold Group
08/30/2024 Xiaojing Cong, Institut de Génomique Fonctionnelle
08/23/2024 Jin Su, Westlake University
08/16/2024 Sebastian Farquhar, Deepmind (formerly OATML)
08/09/2024 Kaiyi Jiang, Abudayyeh-Gootenberg Lab
08/02/2024 Jacob Rapp, Romero Lab
07/26/2024 Mia Petljak, NYU Grossman Medical School
07/12/2024 Pablo Gainza, Bruno Correia Lab
07/03/2024 Alissa Hummer, Charlotte Deane Lab
06/14/2024 Antoni Beltran Marques, Ben Lehner Lab
06/07/2024 Nate Bennett, David Baker Lab
05/17/2024 Jeff Ruffolo, Profluent
05/10/2024 Kevin Yang, Microsoft Research New England
05/03/2024 Tristan Bepler, Simons Machine Learning Center
04/19/2024 Anthony Marchand, Bruno Correia Lab
04/26/2024 Vikram Sundar and Boqiang Tu, Kevin Esvelt Lab
04/12/2024 Luhuan Wu, David Blei Lab
04/05/2024 Hannes Stark, Regina Barzilay Lab
03/22/2024 Maria Brbic, Brbic Lab, EPFL
03/14/2024 Weimin Wu, Zhihan Zhou, Han Liu, Northwestern
03/08/2024 Sven Nelander, Nelander Lab, Uppsala University, Sweden
03/01/2024 Soojung Yang, Rafael Gomez-Bombarelli Lab
02/16/2024 Dawn Chen, Fei Chen Lab, Broad
02/09/2024 Aleksandar Antanasijevic, Antanasijevic Lab, EPFL
01/26/2024 Julie Forman-Kay, Forman-Kay Lab, University of Toronto
01/19/2024 Gordon Rix, Chang Liu / Mo Khalil
01/12/2024 Yuge Ji, Theis Lab, Helmholtz Munich, Munich, Germany
01/05/2024 Michelle Li, Marinka Zitnik
12/15/2023 Soojung Yang, Rafael Gomez-Bombarelli Lab
10/20/2023 Perry Wasdin, Vanderbilt
10/06/2023 Leonie Stockschläder, Berlin Institute of Health
08/25/2023 Tobias Hegelund Olsen, Charlotte Dean Lab @ Oxford
08/11/2023 Pierre Glaser, Arthur Gretton Lab @ UCL
07/21/2023 Sunny and Annie Eom, Albany High School
06/30/2023 Bowen Jing, Berger/Jaakkola Lab @ MIT
06/23/2023 Sepehr Janghorbani, Gerard De Melo Lab @ Rutgers
06/16/2023 Gonzalo Benegas, Song Lab @ UC Berkeley
06/02/2023 Vikram Agarwal, @ Sanofi
05/26/2023 Ellen Shrock, Church Lab @ Harvard Medical School
05/19/2023 Vaibhav Mohanty, Ard Louis Group @ the University of Oxford
05/05/2023 Zheming An, Sontag Lab @ Northeastern University
01/20/2023 CradleBio Team, @ CradleBio
01/13/2023 Rachapun Rotrattanadumrong, @ Okinawa Institute of Science and Technology
01/06/2023 Michelle Li, @ Harvard Medical School
11/11/2022 Dinko Franceschi, Broad Institute @ MIT
11/04/2022 Feiran Li, @ Chalmers University
10/28/2022 Alexander Cohen, Bjorkman Lab @ Caltech
10/21/2022 Alex Li, @UCSF
10/14/2022 Rachel Petherbridge, Higgin Lab @ MGH
09/30/2022 Wengong Jin, CSAIL - MIT
09/23/2022 Ameya Harmalkar; Roshan Rao, Jeffrey Gray Lab @ John Hopkins University
09/16/2022 Haoran Sun, Hao-Min Zhou Lab
09/09/2022 Japheth Gado, National Renewable Energy Laboratory
09/02/2022 Justas Dauparas, Baker Lab @ UW
08/19/22 Yuge Ji, Institute of Computational Biology @ Helmhotz Center Munich
08/12/22 Jason Yim and Brian Trippe, @ MIT
07/29/22 W Schneider, Y Yu, M Kass, Charlie Rice Lab @ The Rockefeller University
07/01/22 Eeshit Vaishnav, @ MIT
06/24/22 Hakhamanesh Mostafavi, @ Stanford University
06/17/22 Martin Jankowiak, Broad Institute @ MIT
05/27/22 Nick Polizzi, @ Harvard Medical School
05/13/22 Juannan Zhou, @ University of Florida
05/06/22 Samuel Stanton, Wilson Lab @ NYU
04/29/22 A Faure, J Domingo, and J Schmiedel, @ The Center for Genomic Regulation
04/15/22 Niloy Biswas, @ Harvard University
04/08/22 Anubhav Sinha, @ MIT
03/25/22 Karla Ilic Durdic, Weitz Lab @ Harvard University
03/18/22 Chloe Hsu, @ UC Berkeley
03/11/22 Marianna Cortese and Kjetil Bjornevik, @ Harvard School of Public Health
03/04/22 Andrew Giessel, @ Moderna
02/11/22 Ronen Mukamel, @ Harvard Medical School
02/04/22 Sergei Kosakovsky-Pond, @ Temple University
01/28/22 Yosuke Tanigawa, Kellis Lab @ MIT
01/21/22 Luke O'Connor, Broad Institute @ MIT
01/14/22 Lucas Janson, @ Harvard University
12/03/21 Kate Dray, Leonard Lab @ Northwestern University
11/19/21 Andy Keller, Welling Lab @ University of Amsterdam
11/12/21 James Xue, Sabeti Lab @ Broad Institute
10/22/21 Josh Pan, Hahn Lab @ Broad Institute, Dana-Farber Cancer Institute
10/15/21 Connor Coley, @ MIT
9/17/21 Luca Sesta, Pagnani Lab @ INFN, Sezione di Torino
9/10/21 Ali Madani, @ Salesforce Research
7/30/21 Peter Koo, @ Cold Spring Harbor Laboratory
7/23/21 Joshua Meier, Facebook AI Research
7/2/21 Antonio Khalil Moretti, Pe'er Lab @ Columbia University
6/25/21 Alex Lee, Greene Lab @ UPenn
6/18/21 Allie Greaney, Bloom Lab @ MIT
6/11/21 Juan Angel Patiño-Galindo, Rabadan Lab @ Columbia University
6/4/21 Lorin Crawford, @ Brown University
5/21/21 Will Grathwohl, Duvenaud Lab @ University of Toronto
5/14/21 Kaitlin Samocha, Hurles group @ Sanger Institute
5/7/21 Romain Lopez, Nir Yosef and Michael I. Jordan's lab @ UC Berkeley
4/30/21 Han Altae-Tran, Feng Zhang lab @ MIT
4/23/21 Hattie Chung, Regev Lab @ Broad Institute
4/16/21 Brian Trippe, Jason Ulirsch, Broderick lab, Finucane lab
4/9/21 Tom Tropea, MIND inititiative collab with Alice Chen-Plotkin
3/12/21 Anastasios Angelopoulos, Michael I. Jordan lab @ UC Berkeley
3/5/21 Ellen Zhong, Brian Hie, Berger lab
2/19/21 Georg Hochberg, Formerly Thornton Lab @ UChicago
2/12/21 Anshul Kundaje, Kundaje lab @ Stanford
2/5/21 Eric Wang, Ring lab @ Yale
1/29/21 D Belanger, D Dohan, A Shanehsazzadeh, @ Google Brain
1/15/21 Tomasz Kula, Formerly Elledge lab @ Harvard
11/20/20 Evgenij Fiskin, @ Broad Institute
11/6/20 Phase separation, In-house
10/30/20 Yixin Wang, Michael I. Jordan lab @ UC Berkeley
10/23/20 Yian Ma, @ UC San Diego
10/16/20 Cedric Huchuan Xia, @ UPenn
9/25/20 Max Shen, Regev lab @ Broad Institute
9/18/20 Simon Dujardin and Caitlin Commins, Hyman lab @ Harvard
8/26/20 Greg McInnes, @ Stanford
8/5/20 Clara Wong-Fannjiang, Listgarden and Jordan lab @ UC Berkeley
7/29/20 Karren Yang, Uhler lab @ MIT
7/22/20 Jason Shepherd, Shepherd lab @ University of Utah
6/24/20 A Rubinsteyn, B Vincent, C Smith, Rubinsteyn lab @ UNC Chapel Hill
6/17/20 Martin Kampmann, Ruilin Tian, Kampmann lab @ UC San Francisco