Becker Lab

University of Rostock

The Becker Lab is a dynamic and quickly growing machine learning lab with a strong international network including for example Stanford University, UC San Diego, or UNC Chapel Hill. We aim to impact high-stake real-world problem settings at the intersection of medicine, environmental change, and human behavior through artificial intelligence and machine learning. For this, we develop novel approaches and methodology in close collaboration with practitioners and domain experts that enable unprecedented insights into complex systems. This allows us to directly impact real-world scenarios like local patient populations or ecosystems maximizing translational and synergetic effects of our work. In this context, the main focus of our group is threefold:

  • understanding complex systems by extracting novel insights into their underlying processes,
  • modeling complex systems by integrating existing domain knowledge into machine learning methods,
  • and developing methods for knowledge management, representation, and interaction.

Our approaches range from multi-modal learning, network analysis, and exceptional model mining to Bayesian modeling, deep learning, representation learning, explainable AI, and human computer interaction.

news

Aug 23, 2024 🏆 KDD’24 Excellence in Reviewing Award! We are honored to have just received a Certificate for Excellence in Reviewing at the KDD’24!
Jul 27, 2024 🧑‍🤝‍🧑: Come join us! We are looking for a postdoc to work on Themis 🥳 and develop their own research agenda 🧠. The current application deadline is September 17, 2024.
Jul 5, 2024 📚 Is it possible to perform end-to-end computational analysis on multiplexed images with minimal programming experience? Yes, it is! Check out our preprint on “SPACEc, A Streamlined, Interactive Python Workflow for Multiplexed Image Processing and Analysis” developed by Yuqi Tan, Tim Kempchen, and team, and mentored Garry Nolan.
Jun 3, 2024 After finishing his master’s thesis on subgroup discovery, Tom Siegl is joining our continuously growing crew of PhD students. Welcome to the team!
Mar 18, 2024 📚 Have a look at our book chapter on Computational Approaches for Connecting Maternal Stress to Preterm Birth in Clinics in Perinatology together with Ina Stelzer, Yuqi Tan, and Kristin Thiele.
Feb 23, 2024 Are you looking for an exciting Ph.D. position at the intersection of data science and leadership development at large organizations? Then work with the founder team of JENEWEIN on novel, impactful data science methods - while getting your Ph.D. as an external student at my lab for Intelligent Data Analytics. We are looking forward to your application!
Feb 19, 2024 A warm welcome to our new PhD student Kutalmış Coşkun from Turkey!
Jan 3, 2024 📚 Do you want to check whether you hypothesis about how researchers collaborate more for European or US researchers? Check out our new paper on Comparing hypotheses across behavioral networks together with Tobias Koopmann, Florian Lemmerich, and Andreas Hotho.
Dec 22, 2023 🧑‍🤝‍🧑: Come join us! We just hired our third group member and we are looking for two more! We have two open Postdoc or PhD positions to work on amazing projects 🥳 and develop their own ideas 🧠. The current application deadline is January 31st, 2023.
Nov 28, 2023 🗣️ Invited talk at the MultiPark Retreat 2023 in Lund, Sweden 🇸🇪 on Machine Learning for Modeling and Understanding Complex Biomedical Systems in the context of the strategic research area (SRA) multidisciplinary research focused on Parkinson´s disease.
Nov 15, 2023 🙌 Amin Mirzaei joined our lab all the way from Iran 🇮🇷 as a PhD student to work as part of our research group Themis. Welcome Amin, research here we come! 🥳
Sep 27, 2023 🧑‍🤝‍🧑: Come join us! We are looking for a Postdoc or PhD students work on amazing projects 🥳 and developing their own ideas 🧠. The current application deadline is October 31th, 2023 🕥. Note that due to state regulation this particular position requires you to be proficient at speaking German 🇩🇪.
Sep 15, 2023 🙌 Bjarne Hiller joined our lab as a PhD student to work as part of our research group Themis. Welcome Bjarne, off to some fun research! 🥳
Aug 11, 2023 🧑‍🤝‍🧑: Come join us! We are looking for PhD students work on amazing projects 🥳. The current application deadline is August 31st, 2023 🕥.
Aug 10, 2023 💻 Checkout our newest version of pysubgroup, a Python package that enables subgroup discovery and exceptional model mining in Python.
Jul 6, 2023 🗣️ Invited talk at the EU funded 🇪🇺 Digital Innovation Center on ChatGPT, LLMs and a Breeze of AI in the context of the Snack IT seminar series.
May 24, 2023 📚 Read our new paper on Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries in Science Advances leady by Camilo Espinosa and Nima Aghaeepour.
May 18, 2023 🧑‍🤝‍🧑: Come join us! We are looking for PhD students work on amazing projects.
Apr 13, 2023 📚 Need to build large correlation networks but it’s taking too much time/memory? Read our new paper on Large-scale correlation network construction for unraveling the coordination of complex biological systems in Nature Computational Science together with Camilo Espinosa, Huda Nassar, and Nima Aghaeepour.
Feb 5, 2023 🧑‍🤝‍🧑: Come join us! We are looking for up tp four PhD students and/or Postdocs and at least two student assistants to work on amazing projects.
Feb 1, 2023 🗣️ Invited talk at the Comprehensive Cancer Center, Mecklenburg-Vorpommern on Machine Learning for Understanding and Modeling Complex Biomedical Systems.
Jan 26, 2023 🗣️ Invited talk at the University of Passau on Leveraging Background Knowledge for Understanding and Modeling Complex Systems in the context of the Brown Bag Seminar on Recent Developments in Data Science.
Dec 14, 2022 📚 Published our book chapter on machine learning techniques for surgeons together with Jeff Choi and Nima Aghaeepour.
Dec 13, 2022 📚 Ever wondered about the connection between stress, pregnancy, and the immune system? In our new paper we work on Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning in Frontiers in Pediatrics together with Jennifer Dai, Alan L. Chang, and Nima Aghaeepour.
Dec 12, 2022 📚 We just published our paper In‐Silico Generation of High‐Dimensional Immune Response Data in Patients using a Deep Neural Network in Cytometry Part A together with Ramin Fallahzadeh and Nima Aghaeepour.
Dec 9, 2022 📚 We just published Early prediction and longitudinal modeling of preeclampsia from multiomics in Patterns together with Ivana Maric and Nima Aghaeepour.
Nov 18, 2022 🗣️ Talk at the Workshop for HealthTechMedicine - Medizin trifft Technik on Maschinelles Lernen zum Verstehen und Modellieren komplexer biomedizinischer Systeme and the THEMIS project.
Sep 22, 2022 🗣️ Talk at the AI for Life Workshop in Greifswald on Leveraging background knowledge for understanding and modeling complex systems and the THEMIS project.
Sep 12, 2022 🗣️ Session at the Summer School Artificial Intelligence in Medicine on Leveraging background knowledge for understanding and modeling complex systems.
Aug 29, 2022 🧑‍🤝‍🧑 Come join us! We are looking for up tp four PhD students or Postdocs and at least two student assistants to work on amazing projects.
Aug 29, 2022 🏁 Martin Becker starts as Jun.-Professor at the University of Rostock, Germany, heading the Chair of Intelligent Data Analytics.