MSAID
Siegfried Gessulat began their work experience in 2011 as a Working Student at SAP, where they worked until 2014. In 2014, they returned to SAP as a Software Engineer and played a role in developing SAP Medical Research Insights, which became a standard product. Siegfried also worked on a co-innovation project with the American Society of Clinical Oncology. In 2016, they became a PhD candidate at SAP and continued in that role until 2019. In 2019, Gessulat joined MSAID as the Technical Lead for Machine Learning and became a Co-Founder of the company later that year.
Siegfried Gessulat completed a Bachelor of Science (B.Sc.) degree in International Business Administration and Information Technology from Ludwigshafen University of Business and Society from 2008 to 2011. In 2011, they also participated in a semester abroad program at Tongji University, focusing on Business Intelligence. Between 2011 and 2014, Gessulat pursued a Master's Degree in Computer Science at Freie Universität Berlin. Later, from 2016 to 2020, they attended the Technical University of Munich, where they obtained a Doctor of Philosophy (Ph.D.) degree in Biochemistry, Biophysics, Molecular Biology, and Computer Science.
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MSAID
MSAID transforms the way scientists analyze proteomics data. MSAID is a bioinformatics spin-off from the Technical University of Munich, Germany and is located at the high-tech-center gate, which is part of the TUM campus in Garching. The company was founded by an interdisciplinary team of scientists with the vision to provide better computational solutions to the field of proteomics. The team has an exceptionally strong track record and long-standing expertise in the acquisition, analysis, and interpretation of proteomic data. Our ambition is to replace current algorithms for proteomics with powerful, AI-based solutions, thereby paving the way for a smarter, deeper, and more reliable way of interrogating proteomic data.