SCOG Workshop ‘Single Cell Genomics meets Data Science’, Munich Sep 12 -13, 2022
We are excited to announce this upcoming in-person workshop at Isarpost Eventlocation, Munich city center. The event will start at 2pm on Sep 12 and will end at 5pm on Sep 13.
Recorded talks available here.
Program Committee: Maria Colomé-Tatché (LMU/ Helmholtz Munich), Oliver Stegle (DKFZ Heidelberg), Fabian Theis (Helmholtz Munich/TUM)
Program
(please find a list of all posters here)
Hourly Schedule
Day 1 - Sep 12
- 12.30 - 2.00
- REGISTRATION
- 2.00 - 2.15
- WELCOME & INTRO by Fabian Theis
Session I: Technology (2.00 pm - 4.00 pm)
- 2.15 - 2.45
- Christoph Bock (CeMM, Vienna)
- CROP-seq and scifi-RNA-seq: Single-cell CRISPR sequencing at scale
- 2.45 - 3.15
- Maria Colomé-Tatché (Helmholtz Munich)
- Studying heterogeneity in cell populations with epigenomic measurements
- 3.15 - 3.30
- Gaurav Jumde (BIMSB, MDC Berlin)
- Predicting developmental states using transfer learning
- 3.30 - 3.45
- Anita Térmeg (LMU, Munich)
- Cross-species comparison of gene regulatory networks
- 3.45 - 4.00
- Maren Büttner (DZNE, Bonn)
- Swarm Learning for single-cell data in human immunology
- 4.00 - 5.00
- BREAK
Session II: Spatial (5.00 pm - 7.00pm)
- 5.00 - 5.30
- Nir Yosef (UC Berkeley)
- Beyond Embedding: Comparative Analysis For Single Cell Genomics With Deep Generative Models
- 5.30 - 6.00
- Omer Bayraktar (Wellcome Sanger Institute, Hinxton)
- Mapping human tissue architecture and pathology using spatial transcriptomics
- 6.00 - 6.30
- Johanna Klughammer (LMU, Munich)
- Combining single-cell and spatial transcriptomics to study metastatic microenvironments
- 6.30 - 6.45
- Julio Saez-Rodriguez (Heidelberg University)
- Using biological knowledge to extract disease mechanisms from single-cell and spatial data
- 6.45 - 7.00
- Markus Mittnenzweig (Weizmann Institute of Science)
- Using temporal flow models for dissecting epigenetic function and intercellular signaling in gastrulation
- 7.00 - 7.15
- FLASH TALKS
- 7.15 - 8.30
- DINNER
- 8.30 - 9.30
- POSTER SESSION & MINGLE
Day 2 - Sep 13
Session III: Regulation (9.00 am - 10.30 am)
- 9.00 - 9.30
- Ashley Sanders (MDC Berlin)
- Measuring somatic mutations and their consequences to identity and target cancer subclones
- 9.30 - 10.00
- Stein Aerts (KU Leuven)
- Decoding gene regulation using single-cell multi-omics, deep learning, and synthetic biology
- 10.00 - 10.15
- Maryna Korshevniuk (UMCG)
- Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
- 10.15 - 10.30
- Florian Barkmann (ETH Zürich)
- CanSig: Discovering de novo shared transcriptional programs in single cancer cells
- 10.30 - 11.30
- POSTER SESSION & BREAK
Session IV: Machine Learning (11.30 am - 1.00 pm)
- 11.30 - 12.00
- Magnus Rattray (The University of Manchester)
- Gaussian process methods for modeling temporal and spatial gene expression changes
- 12.00 - 12.30
- Florian Büttner (DKFZ, Heidelberg)
- Interpretable and reliable machine learning for large heterogeneous data
- 12.30 - 12.45
- Yusuf Roohani (Stanford University)
- Predicting transcriptional outcomes of novel multi-gene perturbations
- 12.45 - 1.00
- Sebastian Damrich (Heidelberg University)
- Unifying t-SNE and UMAP
- 1.00 - 2.30
- LUNCH / OPEN POSTER SESSION
Session V: Dynamics (2.30 pm - 4.00 pm)
- 2.30 - 3.00
- Laleh Haghverdi (BIMSB/MDC, Berlin)
- The dynamics of cell differentiation
- 3.00 - 3.30
- Stefan Bauer (KTH, Stockholm)
- Neural Causal Models & Causal Experimental Design
- 3.30
- POSTER AWARD / CLOSING