Dr. Lorenz Adlung will speak about his research
We, the graduate school Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter (DASHH), the Leibniz ScienceCampus InterACt (LSC InterACt) and the Center for Data and Computing in Natural Sciences (CDCS) are currently organizing a new series of networking events entitled Data Science for Science (DS4S) to enable exchange and networking across disciplines covered in the metropolitan region Hamburg. Therefore, we invite all interested researchers to join the biweekly events which are scheduled on Wednesdays at 4 pm.
Researchers from all partner institutions are invited to present different aspects of (envisioned) data science research and the corresponding application fields. The new series is an extension of our former Hamburg COVID-19 Series, which received a lot of attention and positive feedback, although having a much broader scope now. The event is currently organized online, but we hope that we can extend our series to an on-site event with talks and a subsequent networking event by June.
The next lecture will be presented by Dr. Lorenz Adlung (Junior Group Leader, University Medical Center Hamburg-Eppendorf) on July 6th, 2022 at 4 pm. In his talk, he will introduce recent data science challenges in the field of systems immunology. The title of the presentation is "May contain fat - a conceptual introduction to systems immunology for data scientists".
Our immune system operates on different scales in space and time. Molecular signalling cascades transduce input cues almost instantly, cells exhibit a wide range of turnover times and entire organs change as individuals age. Highly dimensional data features quantitative alterations in both, physiological as well as pathological settings. Given those information, the utilisation of computational models enables us to optimise experimental design, test hypotheses and infer complex dynamics in health and disease.
The Adlung Lab, launched in July 2021 at the University Medical Center Hamburg-Eppendorf (UKE), addresses fundamental questions with clinical relevance by a combination of quantitative data generation and computational modelling. In my talk, I will conceptualise our data- and knowledge-driven research with the paradigm: adipose tissue - or as data scientists may well say: fat.
We are looking forward to further discussions after the talk with some snacks and drinks. Please register by July 3rd, 2022 if you want to join: https://indico.desy.de/event/34951/
At 6 pm, the Center for Data and Computing also organized a Mini-Hackathon and invites interested researchers to register here: https://indico.desy.de/event/35037/
If you want to contribute to this series and looking for collaborations with researchers from Hamburg concerning a specific method or application field, feel free to contact us via the contact button.
If you are interested in our talks and want to receive regular updates on this series, subscribe to our mailing list https://bit.ly/3hTStBa
We are especially grateful for the support of this series by the Joachim Herz Foundation.