Kipoi - Seminar
The monthly virtual seminar series is designed as a platform for interested Kipoi users and developers and will host talks on the applications of deep learning on biological data. The seminar is held on every first Wednesday of the month at 5:30 p.m. - 6:30 p.m. CET. We are also happy to share the recordings of the seminar on YouTube.
How to take part
Our Virtual Seminar Series is hosted entirely online. To join, please subscribe to the mailing list below; we will send you a single recurring link that provides access to every lecture in the series.
How to apply as a speaker
The seminar is a great opportunity to present your recent work to a large international audience. If you want to apply as a speaker, please use the contact in the registration confirmation email.
Next seminar
Title: Predicting Viral Evolution to Accelerate Vaccine and Therapeutic Design
6 May 2026 5:30 p.m. - 6:30 p.m. Central European TimeSpeaker: Noor Youssef, Harvard Medical School
Abstract:Viruses have an enormous impact on humanity, causing billions of deaths and trillions of dollars in economic losses. Yet our responses to viral threats have largely been, and continue to be, reactive. We wait for a virus to spill over into humans, evolve within individuals, and ultimately spread across the global population before acting. My research aims to build a proactive framework for responding to viral threats aimed at identifying potential dangers before they cause their first human infection and developing medical countermeasures (e.g., vaccines and therapeutic antibodies) before widespread transmission occurs. Achieving this goal depends on three key pillars: Can we predict how viruses will evolve? Can we anticipate how those changes will affect immune recognition and protection? And how can we use this knowledge to design vaccines and therapeutics that protect against both current and future viral diversity? In this seminar, I will highlight how my work has made progress on each of these fronts, and lay out a vision for how the remaining gaps can be closed. Together, these advances point toward a future in which we are no longer chasing viruses, but staying ahead of them.
Upcoming speakers
- 3 June 2026 - Zeming Lin, EvolutionaryScale
Previous speakers
- 1 April 2026 - Nilah Ioannidis, UC Santa Cruz, UC Berkley
- 4 March 2026 - Sam Boshar, Instadeep
- 4 February 2026 - Jun Cheng, DeepMind
- 7 January 2026 - Kishore Jaganathan, Illumina
- 3 December 2025 - Gonzalo Benegas, Yun S. Song group, University of California, Berkeley; Open Athena
- 5 November 2025 - Sameed Siddiqui, Sabeti lab, Broad Institute of MIT and Harvard
- 1 October 2025 - Brendan Frey, University of Toronto, Deep Genomics
- 3 September 2025 - Hani Goodarzi, Arc Institute, UCSF
- 2 July 2025 - Yoseph Barash, University of Pennsylvania
- 4 June 2025 - Katherine Pollard, Gladstone Institute of Data Science & Biotechnology, University of California San Francisco, Chan Zuckerberg Biohub
- 7 May 2025 - Laura Martens, Julien Gagneur lab (TUM) & Fabian J. Theis lab (Helmholtz Zentrum Munich), Technical University Munich
- 2 April 2025 - Lucía Barbadilla, De Ridder Group, UMC Utrecht
- 5 March 2025 - Alexander Sasse, Heidelberg University
- 5 February 2025 - Pedro Tomaz da Silva, Gagneur lab, Technical University Munich
- 4 December 2024 - Dmitry Penzar, autosome.org team
- 6 November 2024 - Abdul Muntakim Rafi (Rafi) - Carl de Boer lab, The University of British Columbia
- 2 October 2024 - Avantika Lal, Genentech
- 4 September 2024 - Max Horlbeck and Ruochi Zhang (Buenrostro lab), Harvard University and Broad Institute
- 3 July 2024 - Sagar Gosai - Sabeti (Broad), Reilly (Yale) & Tewhey lab (Jackson laboratories), Broad Institute of Harvard and MIT
- 5 June 2024 - Sara Mostafavi, University of Washington
- 8 May 2024 - Thomas Pierrot, InstaDeep
- 3 April 2024 - Kseniia Dudnyk, Jian Zhou lab, UT Southwestern Medical Center
- 6 March 2024 - Maria Brbić, EPFL, Lausanne
- 7 February 2024 - Eric Nguyen, Christopher Ré lab, Stanford University
- 10 January 2024 - Peter Koo, Cold Spring Harbor Laboratory
- 6 December 2023 - Irene Kaplow, Duke University
- 8 November 2023 - David Kelley, Calico
- 5 July 2023 - Stein Aerts, KU Leuven
- 3 May 2023 - Alexander Karollus, Julien Gagneur lab, Technical University Munich
- 5 April 2023 - Bernardo P. de Almeida, Alex Stark lab, Research Institute of Molecular Pathology, Vienna
- 3 March 2023 - Ewa Szczurek, University of Warsaw
- 1 February 2023 - Mingyao Li, University of Pennsylvania
- 7 December 2022 - Jian Zhou, UT Southwestern
- 2 November 2022 - Marc Horlacher, Helmholtz Zentrum Munich
- 5 October 2022 - William Stafford Noble, University of Washington
- 7 September 2022 - Burkhard Rost, Technical University Munich
- 6 July 2022 - Anna Schaar and David Fischer, Helmholtz Zentrum Munich
- 1 June 2022 - Yoshua Bengio, Université de Montréal, Mila – Quebec Artificial Intelligence Institute
- 4 May 2022 - Francesco Paolo Casale, Helmholtz Pioneer Campus, Helmholtz Zentrum Munich
- 6 April 2022 - Kyle Farh, Head of Artificial Intelligence Lab, Illumina, San Francisco Bay Area
- 2 March 2022 - Jonathan Frazer & Mafalda Dias, Debora Marks Lab, Harvard Medical School, Boston
- 2 February 2022 - Benjamin Schubert, Helmholtz Zentrum, Munich
- 1 December 2021 - Annalisa Marsico, Helmholtz Zentrum, Munich
- 3 November 2021 - Žiga Avsec, DeepMind, London
- 6 October 2021 - Mohammad Lotfollahi, Helmholtz Zentrum, Munich
- 1 September 2021 - Ansh Kapil, AstraZeneca, Munich
- 4 August 2021 - Christina Leslie, Sloan Kettering Institute, New York
- 7 July 2021 - Qiangfeng Cliff Zhang, Tsinghua University, Beijing
- 2 June 2021 - Johannes Linder, University of Washington, Seattle
- 5 May 2021 - Anshul Kundaje, Stanford University, Stanford
- 7 April 2021 - Yingxin Cao, UC Irvine, Irvine
- 3 March 2021 - Avanti Shrikumar, Stanford University, Stanford
- 3 February 2021 - Uwe Ohler, Max-Delbrück-Center for Molecular Medicine, Berlin
- 2 December 2021 - Ron Schwessinger, Radcliffe Department of Medicine, Oxford
- 4 November 2020 - David Kelley, Calico, San Francisco
- 7 October 2020 - Vikram Agarwal, Calico, San Francisco
The scientific committee
- Julien Gagneur, Technical University Munich, Munich
- Annalisa Marsico, Helmholtz Zentrum Munich, Munich
- Johannes Linder, Stanford University, Stanford
- Laura Martens, Technical University Munich & Helmholtz Zentrum Munich, Munich
- Maria Ryabtseva, Technical University Munich, Munich