EMBL Seminars

At EMBL, experts from institutes throughout the world speak on a wide range of scientific and technical topics

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23 June 2025, 15:00

Alternative splicing, apoptosis and cancer: Structural investigations of RNA structures and splicing factors

23 June 20252025Company RepresentativeEMBL Heidelberg

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Speaker(s): Cyril Dominguez, University of Leicester, United Kingdom
Host: Oliver Duss, EMBL, German

Place: Room 202

Company Representative

EMBL Heidelberg


26 June 2025, 14:30

Optimizing computations during gene regulation

26 June 20252025External Faculty SpeakerEMBL Heidelberg

AbstractCells often rely on signalling molecules to make cell fate decisions during development We can see these fate regulating decisions as computational tasks and measure the performance of these tasks with information theoretic quantifiers Yet it is often unclear under what constraints a particular task is performed Here I will argue that we can nevertheless learn about the computational... AbstractCells often rely on signalling molecules to make cell-fate decisions during development. We can see these fate-regulating decisions as computational tasks and measure the performance of these tasks with information-theoretic quantifiers. Yet, it is often unclear under what constraints a particular task is performed. Here, I will argue that we can nevertheless learn about the computational performance of a gene regulatory system. First, I will discuss an example in early fly development, where the computational task involves interpreting signals so that cell fates can correctly be distinguished.  I will discuss how clustering of transcription factors can provide a way with which binding sites can achieve optimal information transfer. Second (if there is time), I will focus first on an example from the canonical Wnt pathway, where we explore synthetic signals and infer which...

Speaker(s): Marianne Bauer, Delft University of Technology, Netherlands

Place: Large Operon

External Faculty Speaker

EMBL Heidelberg

Additional information

Abstract
Cells often rely on signalling molecules to make cell-fate decisions during development. We can see these fate-regulating decisions as computational tasks and measure the performance of these tasks with information-theoretic quantifiers. Yet, it is often unclear under what constraints a particular task is performed. Here, I will argue that we can nevertheless learn about the computational performance of a gene regulatory system. First, I will discuss an example in early fly development, where the computational task involves interpreting signals so that cell fates can correctly be distinguished.  I will discuss how clustering of transcription factors can provide a way with which binding sites can achieve optimal information transfer. Second (if there is time), I will focus first on an example from the canonical Wnt pathway, where we explore synthetic signals and infer which signals would need to be present naturally for the computation to be close to optimality.  We find that for appropriately chosen signals, the cellular response can be precise enough to allow reliable differentiation into two distinct states. As the precision in the pathway improves, more distinct states can be reliably distinguished. 


1 July 2025, 15:00

ComplexHeatmap: make complex heatmaps

1 July 20252025External Faculty SpeakerEMBL Heidelberg, Virtual

AbstractComplex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns Here the ComplexHeatmap R package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics About the speakerZuguang is the creator of ComplexHeatmap the go to package for customizable and publication ready heatmaps in R... AbstractComplex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap R package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics.About the speakerZuguang is the creator of ComplexHeatmap, the go-to package for customizable and publication-ready heatmaps in R. He’ll show us some of the powerful features in the package, and share practical tips for visualizing large and complex datasets.Attachmentshttps://bioconductor.org/packages/devel/bioc/html/ComplexHeatmap.htmlConnection detailsZoom: https://embl-org.zoom.us/j/93966704170?pwd=UE5maWxYbTgvRkVvTU12dkdqUU5CZz09 (Meeting ID: 93966704170, Password: emblr)Please note that the talk will not be recorded.

Speaker(s): Zuguang Gu, German Cancer Research Center, Germany
Host: Eleonora Mastrorilli, Mike Smith, Federico Marotta

Place: Room 440

External Faculty Speaker

EMBL Heidelberg, Virtual

Additional information

Abstract
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap R package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics.

About the speaker
Zuguang is the creator of ComplexHeatmap, the go-to package for customizable and publication-ready heatmaps in R. He’ll show us some of the powerful features in the package, and share practical tips for visualizing large and complex datasets.

Attachments
https://bioconductor.org/packages/devel/bioc/html/ComplexHeatmap.html

Connection details
Zoomhttps://embl-org.zoom.us/j/93966704170?pwd=UE5maWxYbTgvRkVvTU12dkdqUU5CZz09 (Meeting ID: 93966704170, Password: emblr)

Please note that the talk will not be recorded.


2 July 2025, 10:30

CryoET data collection using SPACEtomo and processing in DECTRIS CLOUD

2 July 20252025Company RepresentativeEMBL Heidelberg

AbstractIn situ cryoET data collection requires experienced users and appreciable microscope time to carefully select targets for tilt series acquisition To facilitate full automation I developed smart parallel automated cryo electron tomography SPACEtomo a workflow using machine learning approaches for lamella detection and biological feature segmentation followed by automated target setup... AbstractIn situ cryoET data collection requires experienced users and appreciable microscope time to carefully select targets for tilt series acquisition. To facilitate full automation, I developed smart parallel automated cryo-electron tomography (SPACEtomo), a workflow using machine learning approaches for lamella detection and biological feature segmentation followed by automated target setup and parallel acquisition. This degree of automation will be essential for obtaining statistically relevant datasets and high-resolution structures of macromolecules in their native context. Such large datasets subsequently require careful data management and vast processing resources to obtain scientific insights. I will show how DECTRIS CLOUD can be leveraged to gain easy access to virtually unlimited cloud-based computing power for cryoEM and cryoET data processing. 

Speaker(s): Fabian Eisenstein, DECTRIS CLOUD, Switzerland
Host: Simone Mattei

Place: IC Lecture Hall

Company Representative

EMBL Heidelberg

Additional information

Abstract
In situ cryoET data collection requires experienced users and appreciable microscope time to carefully select targets for tilt series acquisition. To facilitate full automation, I developed smart parallel automated cryo-electron tomography (SPACEtomo), a workflow using machine learning approaches for lamella detection and biological feature segmentation followed by automated target setup and parallel acquisition. This degree of automation will be essential for obtaining statistically relevant datasets and high-resolution structures of macromolecules in their native context. Such large datasets subsequently require careful data management and vast processing resources to obtain scientific insights. I will show how DECTRIS CLOUD can be leveraged to gain easy access to virtually unlimited cloud-based computing power for cryoEM and cryoET data processing.

 


2 July 2025, 11:00

From unicellularity to multicellularity

2 July 20252025External Faculty SpeakerEMBL Heidelberg

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Speaker(s): Thibaut Brunet, Institut Pasteur, France
Host: DB Unit

Place: Large Operon

External Faculty Speaker

EMBL Heidelberg


3 July 2025, 13:30

Fundamental principles of collective animal behaviour

3 July 20252025External Faculty SpeakerEMBL Heidelberg

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Speaker(s): Iain Couzin, MPI, Germany
Host: DB Unit

Place: Large Operon

External Faculty Speaker

EMBL Heidelberg


3 July 2025, 16:00

Biological physics and morphogenesis

3 July 20252025External Faculty SpeakerEMBL Heidelberg

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Speaker(s): Karen Alim, TU Munich, Germany
Host: DB Unit

Place: Large Operon

External Faculty Speaker

EMBL Heidelberg


4 July 2025, 09:30

Theoretical physics of biological development

4 July 20252025External Faculty SpeakerEMBL Heidelberg

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Speaker(s): Guillaume Salbreux, University of Geneva, Switzerland
Host: DB Unit

Place: Large Operon

External Faculty Speaker

EMBL Heidelberg


7 July 2025, 09:30

tba

7 July 20252025Seminar given by an external postdoc EMBL Heidelberg

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Speaker(s): Caren Norden, Gulbenkian Institute for Molecular Medicine, Portugal
Host: DB Unit

Place: Large Operon

Seminar given by an external postdoc

EMBL Heidelberg


14 July 2025, 11:00

Deciphering the cis-regulatory sequence code of the human genome

14 July 20252025EMBL Distinguished Visitor LectureEMBL Rome

AbstractMy lab has developed lightweight robust and interpretable deep learning models that can predict diverse biochemical profiles spanning transcription factor binding chromatin accessibility nascent transcription steady state transcription and reporter assays Our models 1 detect learn and correct cryptic experimental biases 2 reveal underlying causal sequence syntax and its... AbstractMy lab has developed lightweight, robust and interpretable deep learning models that can predict diverse biochemical profiles spanning transcription factor binding, chromatin accessibility, nascent transcription, steady state transcription and reporter assays. Our models (1) detect, learn and correct cryptic experimental biases, (2) reveal underlying causal sequence syntax and its pleiotropy across biochemical and cellular contexts, (3) encode biophysical parameters and (4) predict effects of regulatory genetic variants. Our models match or surpass the performance of massive, multi-task supervised models and self-supervised DNA language models across a battery of carefully curated benchmarks, including molecular QTLs from diverse cell contexts and ancestries, reporter assays, CRISPR-based genome editing experiments, and fine mapped GWAS variants. By systematically...

Speaker(s): Anshul Kundaje, Stanford University, USA

Place: Conf Room/Building 14

EMBL Distinguished Visitor Lecture

EMBL Rome

Additional information

Abstract
My lab has developed lightweight, robust and interpretable deep learning models that can predict diverse biochemical profiles spanning transcription factor binding, chromatin accessibility, nascent transcription, steady state transcription and reporter assays. Our models (1) detect, learn and correct cryptic experimental biases, (2) reveal underlying causal sequence syntax and its pleiotropy across biochemical and cellular contexts, (3) encode biophysical parameters and (4) predict effects of regulatory genetic variants. Our models match or surpass the performance of massive, multi-task supervised models and self-supervised DNA language models across a battery of carefully curated benchmarks, including molecular QTLs from diverse cell contexts and ancestries, reporter assays, CRISPR-based genome editing experiments, and fine mapped GWAS variants. By systematically interpreting a foundational resource of ~5000 regulatory DNA sequence models trained on bulk and single cell datasets from diverse adult and fetal cellular contexts, we can begin unraveling the incredible complexity and context-specificity of regulatory sequence lexicons, syntax and genetic variation encoded in the human genome.

 

 


15 July 2025, 15:00

tidymass: R packages for mass spectrometry data processing and analysis

15 July 20252025External Faculty SpeakerEMBL Heidelberg, Virtual

AbstractTidyMass is a comprehensive computational framework for data processing and analysis of LC MS data using tidyverse principles It is developed by the Shen Lab at Nanyang Technological University Singapore About the speakerXiaotao develops TidyMass a modular and tidyverse friendly toolbox for mass spectrometry based metabolomics He ll introduce the ecosystem behind TidyMass and share his... AbstractTidyMass is a comprehensive computational framework for data processing and analysis of LC-MS data using tidyverse principles. It is developed by the Shen Lab at Nanyang Technological University, Singapore.About the speakerXiaotao develops TidyMass, a modular and tidyverse-friendly toolbox for mass spectrometry-based metabolomics. He’ll introduce the ecosystem behind TidyMass and share his perspective on building reproducible metabolomics workflows in R.Attachmentshttps://www.tidymass.org/Connection detailsZoom: https://embl-org.zoom.us/j/93966704170?pwd=UE5maWxYbTgvRkVvTU12dkdqUU5CZz09 (Meeting ID: 93966704170, Password: emblr)Please note that the talk will not be recorded.

Speaker(s): Xiaotao Shen, Nanyang Technological University, Singapore
Host: Eleonora Mastrorilli, Mike Smith, Federico Marotta

Place: Room 440

External Faculty Speaker

EMBL Heidelberg, Virtual

Additional information

Abstract
TidyMass is a comprehensive computational framework for data processing and analysis of LC-MS data using tidyverse principles. It is developed by the Shen Lab at Nanyang Technological University, Singapore.

About the speaker
Xiaotao develops TidyMass, a modular and tidyverse-friendly toolbox for mass spectrometry-based metabolomics. He’ll introduce the ecosystem behind TidyMass and share his perspective on building reproducible metabolomics workflows in R.

Attachments
https://www.tidymass.org/

Connection details
Zoomhttps://embl-org.zoom.us/j/93966704170?pwd=UE5maWxYbTgvRkVvTU12dkdqUU5CZz09 (Meeting ID: 93966704170, Password: emblr)

Please note that the talk will not be recorded.


25 July 2025, 11:00

Decoding the transcription circuitry when the life begins

25 July 20252025EMBL Distinguished Visitor LectureEMBL Rome

AbstractDrastic epigenetic reprogramming occurs during mammalian early embryogenesis Deciphering the molecular events underlying these processes is crucial for understanding how epigenetic information is transmitted between generations and how life really begins Probing these questions was previously hindered by the scarce experimental materials that are available in early development By... AbstractDrastic epigenetic reprogramming occurs during mammalian early embryogenesis. Deciphering the molecular events underlying these processes is crucial for understanding how epigenetic information is transmitted between generations and how life really begins. Probing these questions was previously hindered by the scarce experimental materials that are available in early development. By developing a set of ultra-sensitive chromatin analysis technologies, we investigated chromatin reprogramming during early mouse development for chromatin accessibility, histone modifications, and 3D architecture. These studies unveiled highly dynamic and non-canonical chromatin regulation during maternal-to-zygotic transition and zygotic genome activation (ZGA). However, how ZGA is kickstarted and how the early development program is progressively driven by transcription factors (TFs) remain...

Speaker(s): Wei Xie, School of Life Sciences, Tsinghua University,, China
Host: Ana Boskovic

Place: Conf Room/Building 14

EMBL Distinguished Visitor Lecture

EMBL Rome

Additional information

Abstract
Drastic epigenetic reprogramming occurs during mammalian early embryogenesis. Deciphering the molecular events underlying these processes is crucial for understanding how epigenetic information is transmitted between generations and how life really begins. Probing these questions was previously hindered by the scarce experimental materials that are available in early development. By developing a set of ultra-sensitive chromatin analysis technologies, we investigated chromatin reprogramming during early mouse development for chromatin accessibility, histone modifications, and 3D architecture. These studies unveiled highly dynamic and non-canonical chromatin regulation during maternal-to-zygotic transition and zygotic genome activation (ZGA). However, how ZGA is kickstarted and how the early development program is progressively driven by transcription factors (TFs) remain enigmatic. Recently, we identified key TFs that act at the onset of ZGA, and those that connect ZGA to the first cell fate commitment. In this talk, I will discuss how TFs and epigenetic factors cooperatively establish embryonic program and restore the embryonic epigenomes when the life begins. 


12 September 2025, 11:00

How Large Language Models impact Bio-image Data Science

12 September 20252025External Faculty SpeakerEMBL Heidelberg

AbstractLarge Language Models LLMs like ChatGPT are transforming the way we do science and very prominently how we analyse scientific data In this talk I will introduce the fundamentals of LLMs and their emerging multimodal extensions such as Vision Language Models VLMs Computer scientists seek to enable analysis of biological images using VLMs turning images into numbers and insights... AbstractLarge Language Models (LLMs) like ChatGPT are transforming the way we do science and very prominently how we analyse scientific data. In this talk, I will introduce the fundamentals of LLMs and their emerging multimodal extensions, such as Vision-Language Models (VLMs). Computer scientists seek to enable analysis of biological images using VLMs, turning images into numbers and insights ideally directly. I will discuss current capabilities and limitations of these models for bio-image analysis and highlight the unique potential of LLMs for automating data analysis workflows through code-generation. Emphasizing practical examples, I will demonstrate how LLM-driven code-generation accelerates data exploration, preprocessing, and quantitative analysis in bio-image data science. 

Speaker(s): Robert Haase, Universität Leipzig, Germany
Host: Christian Tischer

Place: Small Operon

External Faculty Speaker

EMBL Heidelberg

Additional information

Abstract
Large Language Models (LLMs) like ChatGPT are transforming the way we do science and very prominently how we analyse scientific data. In this talk, I will introduce the fundamentals of LLMs and their emerging multimodal extensions, such as Vision-Language Models (VLMs). Computer scientists seek to enable analysis of biological images using VLMs, turning images into numbers and insights ideally directly. I will discuss current capabilities and limitations of these models for bio-image analysis and highlight the unique potential of LLMs for automating data analysis workflows through code-generation. Emphasizing practical examples, I will demonstrate how LLM-driven code-generation accelerates data exploration, preprocessing, and quantitative analysis in bio-image data science.

 


3 October 2025, 11:00

To be announced

3 October 20252025External Faculty SpeakerEMBL Rome

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Speaker(s): Cyril Henry, University of Bordeaux, France
Host: Cornelius Gross

Place: Conf Room/Building 14

External Faculty Speaker

EMBL Rome


7 October 2025, 11:00

To be announced

7 October 20252025EMBL Distinguished Visitor LectureEMBL Rome

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Speaker(s): Magdalena Götz, Helmholtz Zentrum München, Germany

Place: Conf Room/Building 14

EMBL Distinguished Visitor Lecture

EMBL Rome


17 October 2025, 11:00

To be announced

17 October 20252025EMBL - Sapienza LectureEMBL Rome

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Speaker(s): Antonella Riccio, UCL Laboratory for Molecular Cell Biology, United Kingdom

Place: Sapienza Università di Roma - Aula Odeion - Museo dell'Arte Classica - P.le Aldo Moro, 5 - Roma

EMBL - Sapienza Lecture

EMBL Rome


24 October 2025, 11:00

Memory aids on the chromatin – Epigenetic mechanisms of memory encoding

24 October 20252025External Faculty SpeakerEMBL Rome

AbstractMemory formation relies on a bidirectional interplay between synaptic plasticity and nucleus templated transcriptional programs but how precisely this interplay is orchestrated by epigenetic mechanisms remains to a large extent unknown In this talk I will showcase our recent efforts to better understand this aspect from two angles First we have found that chromatin plasticity in the... AbstractMemory formation relies on a bidirectional interplay between synaptic plasticity and nucleus-templated transcriptional programs, but how precisely this interplay is orchestrated by epigenetic mechanisms remains to a large extent unknown. In this talk, I will showcase our recent efforts to better understand this aspect from two angles. First, we have found that chromatin plasticity in the mouse brain is a key determinant for memory allocation, the process by which neurons become recruited into the memory trace: When we increased chromatin plasticity by enzymatic overexpression of histone acetyl transferases (HATs), neurons with elevated histone acetylation were preferentially recruited into the encoding ensemble and memory retention was enhanced, while optogenetic silencing of the epigenetically altered neurons prevented memory expression. Second, we have found that after...

Speaker(s): Johannes Graff, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Place: Conf Room/Building 14

External Faculty Speaker

EMBL Rome

Additional information

Abstract
Memory formation relies on a bidirectional interplay between synaptic plasticity and nucleus-templated transcriptional programs, but how precisely this interplay is orchestrated by epigenetic mechanisms remains to a large extent unknown. In this talk, I will showcase our recent efforts to better understand this aspect from two angles. First, we have found that chromatin plasticity in the mouse brain is a key determinant for memory allocation, the process by which neurons become recruited into the memory trace: When we increased chromatin plasticity by enzymatic overexpression of histone acetyl transferases (HATs), neurons with elevated histone acetylation were preferentially recruited into the encoding ensemble and memory retention was enhanced, while optogenetic silencing of the epigenetically altered neurons prevented memory expression. Second, we have found that after learning, the epigenetic make-up of a single locus in the encoding ensemble is necessary and sufficient to bidirectionally alter memory performance across different phases of memory consolidation. Together, these findings stipulate that before and after memory encoding, epigenetic mechanisms play a pivotal role as molecular memory aids. 


7 November 2025, 11:00

To be announced

7 November 20252025EMBL Distinguished Visitor LectureEMBL Rome

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Speaker(s): Stavros Lomvardas, Columbia University, USA

Place: Conf Room/Building 14

EMBL Distinguished Visitor Lecture

EMBL Rome


14 November 2025, 11:00

To be announced

14 November 20252025EMBL - Sapienza LectureEMBL Rome

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Speaker(s): Andrea Ganna, Institute for Molecular Medicine Finland (FIMM), Finland

Place: Sapienza Università di Roma - Aula Odeion - Museo dell'Arte Classica - P.le Aldo Moro, 5 - Roma

EMBL - Sapienza Lecture

EMBL Rome


21 November 2025, 11:00

To be announced

21 November 20252025EMBL Distinguished Visitor LectureEMBL Rome

...

Speaker(s): Hongkui Zeng, Allen Institute for Brain Science, USA

Place: Conf Room/Building 14

EMBL Distinguished Visitor Lecture

EMBL Rome


4 December 2025, 14:30

To be announced

4 December 20252025External Faculty SpeakerEMBL Heidelberg

Abstract Text for abstract About the speaker Biographical information about the speaker Meet the speakerTo meet with the speaker informally after the talks sign up here add link We especially encourage predocs and postdocs to take advantage of this opportunity Attachments Link to a file for example a pdf of the seminar s programme the file can be uploaded on the intranet Connection... Abstract[Text for abstract].About the speaker[Biographical information about the speaker].Meet the speakerTo meet with the speaker informally after the talks,sign up here [add link]. We especially encourage predocs and postdocs to take advantage of this opportunity.Attachments[Link to a file (for example a pdf of the seminar’s programme) - the file can be uploaded on the intranet]Connection detailsZoom*: [https://embl-org.zoom.us/j/96374261689?pwd=TnNxRWtQY2lyc2pSa2JpY3NGcDlhZz09] (Meeting ID: [963 7426 1689], Password: [DBU])Please note that the talk will yes/not be recorded.*For the FAQ section, as a zoom participant, please use either the chat function (the host will read out your question) or the “raise your hand” function and turn on your microphone.

Speaker(s): Irene Miguel Aliaga, The Francis Crick Institute, United Kingdom

Place: Small Operon

External Faculty Speaker

EMBL Heidelberg

Additional information

Abstract
[Text for abstract].

About the speaker
[Biographical information about the speaker].

Meet the speaker
To meet with the speaker informally after the talks,sign up here [add link]. We especially encourage predocs and postdocs to take advantage of this opportunity.

Attachments
[Link to a file (for example a pdf of the seminar’s programme) - the file can be uploaded on the intranet]

Connection details
Zoom*: [https://embl-org.zoom.us/j/96374261689?pwd=TnNxRWtQY2lyc2pSa2JpY3NGcDlhZz09] (Meeting ID: [963 7426 1689], Password: [DBU])

Please note that the talk will yes/not be recorded.
*For the FAQ section, as a zoom participant, please use either the chat function (the host will read out your question) or the “raise your hand” function and turn on your microphone.