Becker Lab

University of Rostock

Join us! ๐Ÿ‘ฉโ€๐ŸŽ“๐Ÿง‘โ€๐Ÿซ๐Ÿ‘ฉโ€โš•๏ธ๐Ÿ™‹โ€โ™‚๏ธ We are looking for several PhD students or Postdocs and student assistants. You will work on projects encompassing for example extracting and integrating domain knowledge from and into machine learning methods in the context of high-impact applications like (bio-)medicine and environmental change.

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

Jun 3, 2024 After finishing his masterโ€™s thesis on subgroup discovery, Tom Siegl is joining our continuously growing crew of PhD students. Welcome to the team!
Mar 18, 2024 ๐Ÿ“š 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 KutalmฤฑลŸ CoลŸkun from Turkey!
Jan 3, 2024 ๐Ÿ“š 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 ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘: 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 ๐Ÿฅณ and develop their own ideas ๐Ÿง . The current application deadline is January 31st, 2023.
Nov 28, 2023 ๐Ÿ—ฃ๏ธ Invited talk at the MultiPark Retreat 2023 in Lund, Sweden ๐Ÿ‡ธ๐Ÿ‡ช on Machine Learning for Modeling and Understanding Complex Biomedical Systems in the context of the strategic research area (SRA) multidisciplinary research focused on Parkinsonยดs disease.
Nov 15, 2023 ๐Ÿ™Œ Amin Mirzaei joined our lab all the way from Iran ๐Ÿ‡ฎ๐Ÿ‡ท as a PhD student to work as part of our research group Themis. Welcome Amin, research here we come! ๐Ÿฅณ
Sep 27, 2023 ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘: Come join us! We are looking for a Postdoc or PhD students work on amazing projects ๐Ÿฅณ and developing their own ideas ๐Ÿง . The current application deadline is October 31th, 2023 ๐Ÿ•ฅ. Note that due to state regulation this particular position requires you to be proficient at speaking German ๐Ÿ‡ฉ๐Ÿ‡ช.
Sep 15, 2023 ๐Ÿ™Œ 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! ๐Ÿฅณ
Aug 11, 2023 ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘: Come join us! We are looking for PhD students work on amazing projects ๐Ÿฅณ. The current application deadline is August 31st, 2023 ๐Ÿ•ฅ.
Aug 10, 2023 ๐Ÿ’ป Checkout our newest version of pysubgroup, a Python package that enables subgroup discovery and exceptional model mining in Python.
Jul 6, 2023 ๐Ÿ—ฃ๏ธ Invited talk at the EU funded ๐Ÿ‡ช๐Ÿ‡บ Digital Innovation Center on ChatGPT, LLMs and a Breeze of AI in the context of the Snack IT seminar series.
May 24, 2023 ๐Ÿ“š 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 ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘: Come join us! We are looking for PhD students work on amazing projects.
Apr 13, 2023 ๐Ÿ“š Need to build large correlation networks but itโ€™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 ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘: 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 ๐Ÿ—ฃ๏ธ Invited talk at the Comprehensive Cancer Center, Mecklenburg-Vorpommern on Machine Learning for Understanding and Modeling Complex Biomedical Systems.
Jan 26, 2023 ๐Ÿ—ฃ๏ธ 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 ๐Ÿ“š Published our book chapter on machine learning techniques for surgeons together with Jeff Choi and Nima Aghaeepour.
Dec 13, 2022 ๐Ÿ“š 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 ๐Ÿ“š We just published our paper Inโ€Silico Generation of Highโ€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 ๐Ÿ“š We just published Early prediction and longitudinal modeling of preeclampsia from multiomics in Patterns together with Ivana Maric and Nima Aghaeepour.
Nov 18, 2022 ๐Ÿ—ฃ๏ธ 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 ๐Ÿ—ฃ๏ธ 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 ๐Ÿ—ฃ๏ธ Session at the Summer School Artificial Intelligence in Medicine on Leveraging background knowledge for understanding and modeling complex systems.
Aug 29, 2022 ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ 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 ๐Ÿ Martin Becker starts as Jun.-Professor at the University of Rostock, Germany, heading the Chair of Intelligent Data Analytics.