Jun.-Prof. Dr. Jakob Nikolas Kather, MSc
Jakob (ORCID) is a physician/scientist and assistant professor at RWTH Aachen University (Germany) with additional affiliations at the NCT Heidelberg (Germany) and the University of Leeds (UK). His research is focused on applications of artificial intelligence (AI) in cancer, in particular on predictive biomarkers for targeted treatment and immunotherapy. His clinical duties include Gastrointestinal Oncology, Gastroenterology and Medical Intensive Care. Recent publications are listed on Google Scholar and Pubmed. Jakob routinely reviews articles for scienctific, medical and technical journals (Publons).
Hannah Sophie Muti
Hannah joined the lab in 2018. She is a medical student with a strong interest in cancer and histopathology and is working on detecting predictive biomarkers in gastric cancer. She is also a power user of QuPath and is an active part of the QuPath community. Hannah is co-mentored by Prof. Dr. Nadine Gaisa at RWTH University Hospital. Find Hannah on Pubmed.
Chiara is a medical student who joined the lab in 2018. In her projects, she explores a pan-cancer perspective of deep learning based biomarkers. She is experienced in histopathology and cancer genomics in many tumor types. Also, Chiara has more than a year of experience in handling large clinical data sets of cancer patients. Chiara is co-mentored by Dr. Nadina Ortiz-Bruechle and Prof. Dr. Nadine Gaisa at RWTH University Hospital Aachen. Find Chiara on Pubmed.
Amelie joined the lab in 2019 and is working on large cohorts of colorectal cancer patients. Her aim is to validate deep learning classifiers by using rigorous methods required of clinical biomarkers. Amelie is co-mentored by Prof. Dr. Nadine Gaisa at RWTH University Hospital. Find Amelie on Pubmed and biorxiv.
Dr. med. Peter L. Schrammen
Peter is a medical doctor specializing in Gastroenterology and Hepatology with years of wet-lab experience in liver immunology. He joined the group as a postdoctoral fellow in 2020, contributing medical and immunology expertise. You can find Peter’s published research on Pubmed.
Narmin Ghaffari Laleh, MSc
Narmin is a full-time research scientist and software engineer in our group. She has years of experience in data science, including industry experience in the life science area. Her responsibilities include development and improvement of our artificial intelligence pipeline. Her scientific interest is in new AI technologies, including generative models. Narmin is co-mentored by Prof. Dr. Volkmar Schulz from RWTH Aachen University. Narmin joined the Kather Lab in 2020. You can find Narmin’s published research on Pubmed
Oliver Lester Saldanha, MSc
Oliver is a research scientist and PhD student in the Kather Lab. He is focussing on building multi-input multi-output models for the development of new artificial intelligence-based biomarkers in various cancer types. He is co-supervised by Prof. Dr. Andreas Schuppert at the “Joint Research Center for Computational Biomedicine” at RWTH Aachen.
Didem Cifci, MSc
Didem is a PhD student who joined the Kather Lab in 2021. Originally coming from a molecular biology and genetics background, Didem is also a programmer with years of software engineering experience. Thus, she bridges the worlds of molecular biology and computer science to advance the mission of the Kather laboratory. Didem is co-supervised by Prof. Dr. Nadine Gaisa from the Institute of Pathology at RWTH University Hospital.
Katherine Jane Hewitt, MD
Kat is a PhD student who joined the Kather Lab in 2021. She is a histopathology trainee in the UK, aiming to become an interdisciplinary expert in computational pathology. Her projects are driven by her histomorphological knowledge and translational research expertise. She has a particular research interest in explainable AI and the tumor microenvironment.
Jan Niehues, PhD
Jan is a medical student with a PhD in physics who joined the lab in 2019. He is building expertise in histopathology images, cancer genomics and is optimizing computational workflows of deep learning. As a proficient programmer with many years of experience, he is heavily involved in training other lab members in Python and Groovy programming.
Tobias is a physics student at RWTH Aachen who is using Python/Tensorflow for optimizing deep learning in medical imaging. He is training medical team members in computer programming while building his expertise on medical data analysis. Also, he actively contributes to the development and streamlining of our software pipeline.
Marko van Treeck, MSc
Marko graduated in Computer Science at RWTH Aachen University (co-supervisor: Prof. Dr. Bastian Leibe) and is currently working in our group as a software engineer. He is interested in making deep learning workflows more efficient and more powerful by using dimensionality reduction for gigapixel images in cancer histology.
Lena Anna Pakulla, MSc
Lena is a medical student who joined the group in 2018. She is actively maintaining large histological image collections and manages logistics of patient sample exchange, including anonymization and ethics aspects.
Visiting Lab Members
Tobias P. Seraphin
Tobias is a resident physician and researcher at the Department of Gastroenterology at the University Hospital Duesseldorf. He is affiliated with our group as a visiting member since mid-2021. Tobias is part of the DEEP LIVER consortium and his mission is to use AI for outcome prediction in liver disease. His primary supervisor is Prof. Dr. Tom Luedde from the University Hospital Duesseldorf. Find his published research on Pubmed .
Virginia Ardévol Martinez
Virginia is a student at Maastricht University who joined the lab as a visiting research intern in 2020. Her interest is to find better treaments for cancer patients by game theory and mechanistic modeling. Virginia’s co-supervisors are Prof. Dr. Rachel Cavill, Prof. Dr. Katerina Stankova and Prof. Dr. Frank Thuijsmann from Maastricht University.
- Jeremias Krause
- Celine N. Heinz