Team
Klaus Maier-Hein heads the Division of Medical Image Computing at the German Cancer Research Center (DKFZ) and the Pattern Analysis and Learning Group at Heidelberg University Hospital. After studying computer science at Karlsruhe Institute of Technology (KIT) and École Polytechnique Fédérale de Lausanne (EPFL) he received his PhD in computer science in 2010 from the University of Heidelberg, followed by postdoctoral work at DKFZ and Harvard Medical School. His research is focused on deep learning methodology in the context of medical image analysis and the development of research software infrastructure for efficient translation of results.
Klaus Maier-Hein is coordinator of the Helmholtz Imaging Platform (HIP) and spokesman of the Helmholtz Information & Data Science School for Health (HIDSS4Health).
He has been member of several committees and has won numerous international competitions in medical image computing. In addition, he is founding member of heidelberg.ai, a platform for technical discussions and networking in the field of Artificial Intelligence.
Ralf is Group Lead at German Cancer Research Center (division of "Medical Image Computing") since 2010. He is giving lectures at Heilbronn University/Heidelberg University since the year 2006. His current project relevant research domains are medical image analysis and the application of secure and trustworthy machine learning and federated learning in medical image computing / radiological research.
Franziska is a tenure-track faculty at the CISPA Helmholtz Center for Information Security where she co-leads the SprintML lab. Before, she was a Postdoctoral Fellow at the University of Toronto and Vector Institute advised by Prof. Nicolas Papernot. Her current research centers around private and trustworthy machine learning. Franziska obtained her Ph.D. at the Computer Science Department at Freie University Berlin, where she pioneered the notion of individualized privacy in machine learning. During her Ph.D., Franziska was a research associate at the Fraunhofer Institute for Applied and Integrated Security (AISEC), Germany. She received a Fraunhofer TALENTA grant for outstanding female early career researchers, the German Industrial Research Foundation prize for her research on machine learning privacy, and the Fraunhofer ICT Dissertation award 2023, and was named a GI-Junior Fellow in 2024.
Adam is a Tenure Track Faculty Member at CISPA Helmholtz Center for Information Security, co-leading the SprintML group. His research is focused on secure and trustworthy Machine Learning as a Service (MLaaS). Adam designs robust and reliable machine learning methods for training and inference of ML models while preserving data privacy and model confidentiality. Adam was a Postdoctoral Fellow at the Vector Institute and the University of Toronto, and a member of the CleverHans Lab, advised by Prof. Nicolas Papernot. He earned his PhD at the University of Chicago, where he was advised by Prof. Sanjay Krishnan and worked on input and model compression for adaptive and robust neural networks. Adam obtained his Bachelor's and Master's degrees from the Warsaw University of Technology in Poland. He was also studying at DTU (Technical University of Denmark) and carried out research at EPFL, Switzerland. Adam also worked at CERN (Geneva, Switzerland), Barclays Investment Bank in London (UK), Microsoft Research (Redmond, USA), and Google (Madison, USA).
Santhosh Parampottupadam is a Researcher at the German Cancer Research Centre (DKFZ). His previous projects include Trusted Federated Data Analytics (a joint effort of DKFZ and CISPA – Helmholtz Center for Information Security), Privacy-Preserving Analytics in Medicine, and Kaapana. Prior to joining DKFZ, he worked as a Research Scientist at Kaspersky Lab, Ireland, and as an R&D Scientist at Fiserv, Ireland, focusing on financial fraud detection models. He was invited as a speaker at the World Machine Learning Summit 2019 in Dublin and the Privacy Enhancing Technology Summit 2022 in Zürich. He was also a finalist for the AI Student of the Year and Data Science Student of the Year awards in Ireland. Santhosh holds a Master's Degree from the National College of Ireland in Cloud Computing and completed his dissertation under Dr. Arghir-Nicolae Moldovan, titled Cloud-Based Real-Time Network Intrusion Detection using Deep Learning, which was published at the Glasgow Cybersecurity Conference in 2018. The key projects he has worked on are Trustworthy Federated Data Analytics (TFDA), Privacy-Preserving Analytics in Medicine (PrivateAIM) and Kaapana.
Ph.D. student at CISPA
Jyotika is a research assistant in the SprintML Lab at CISPA. She is a pursuing her MSc in Informatik at Saarland University. Her field of interest revolves around Privacy and trustworthiness in Machine Learning. She completed her Bachelors in Computer Science from Indian Institute Of Technology, Bhilai (IIT Bhilai), India in the year 2023. During her Bachelor's, she delved into various fields such as machine learning, security, cryptography, and lightweight cryptography.