Education
ETH Zurich
July 2020 — June 2024 (expected)
Doctor of Science ETH, Computational Biology and Machine Learning
Zurich, Switzerland
-
Specialization in biomedical, multi-scale and multi-modal data integration, image analysis and comuter vision
-
Thesis: Machine Learning Approaches Linking Gene Regulation and Genome Organization in Health and Disease
ETH Zurich
September 2017 — May 2020
Master of Science ETH, Statistics; GPA: 5.71/6.00
Zurich, Switzerland
-
Specialization in data science and AI through elective course work, volunteer semester projects and research assistantships
-
Thesis: Self-Supervised Representation Learning for Surgical Action Recognition (Grade: 6.00/6.00)
Berlin School of Economics and Law
October 2014 — September 2017
Bachelor of Science, Information Systems, GPA: 1.4 (ECTS grade A)
Berlin, Germany
-
Integrated degree program with IBM Germany which combined academic studies at a university of applied sciences with work experience in the industry via various internships at IBM including research and development, internal and client-facing roles
-
Thesis: Analysis of Machine Learning Algorithms for Systems` Performance Anomaly Detection (optimal grade)
Selected Experience
Paul Scherrer Institute
July 2020 — Present
Ph.D. Candidate in Computational Biology and Machine Learning
Villigen, Switzerland
-
Developed various computational methods and machine learning pipelines using imaging and multiomic data to identify novel diagnostic biomarkers; Pipelines were primarily implemented using Pyton and PyTorch
-
Co-authored 5 manuscripts and collaborated with clinical experts and researchers from various fields
ETH Zurich
May 2020 — July 2020
Research Assistant
Zurich, Switzerland
-
Developed and published a framework to semi-automatically extract interpretable features from surgical video data by combining self-supervised deep representation learning and statistical time series analyses
-
The use of the extracted features in combination with sensor data enabled up to six times more accurate unsupervised recognition of surgical activities compared to the setting where only sensor data was used
ETH Zurich
February 2019 — September 2019
Research Assistant
Zurich, Switzerland
-
Developed a hidden semi-Markov model for unsupervised surgical activity recognition from sensor data enabling the automatic and up to 50x faster (compared to the manual) annotation of complex surgical workflows
-
Built a simple implementation of the model in Python enabling end-to-end training and inference
IBM Research & Development
May 2017 — September 2017
Research Intern
Boeblingen, Germany
-
Constructed a machine learning pipeline in Python using ensemble models to identify systems performance anomalies for large-scale mainframe systems with up to 95% accurracy
-
Developed several interactive dashboards to visualize the analyses results using Apache Zeppelin and Spark and summarized the results in the Bachelor`s thesis
IBM Global Business Sevices
November 2016 — February 2017
IT Architecture Intern
Teltow, Germany
-
Built a Java software package enabling the automatic benchmarking of the performance of the OCR component of an ECM system of a leading company
-
Designed multiple SQL databases and Python scripts to automate the software deployment and generate project dashboards as part of a team of 10+ IT architects and software developers
IBM Research
May 2016 — August 2016
Research Intern
San Jose (CA), United States
-
Developed a statistical time series model in R simulating te glucose level of diabetics tereby accounting for the daily schedules of the individuals
-
Built a prototype of a data processing system using Apache Spark and Java that predicts future hypoglycemic events from streaming glucose sensor data in near-real time
IBM Global Business Services
January 2016 — February 2016
Software Develpment Intern
Hanover, Germany
-
Developed a software module in Java simulating key peripheral system components of an ECM system of a global business insurance company
-
The module enabled system-wide API testing up to 30% earlier during the software development and testing cycle for the 20+ developers of the project team
Additional Experience
Presentations
Oral presentation at the International Conference of Systems Biology (October 2023, Hartford, USA) with the title Image2Reg: Linking Chromatin Images to Gene Regulation using Gene Pertubation Screens
Leadership
One of the two IT supporters of the Laboratory of Nanoscale Biology at the Paul Scherrer Institute with 45+ associated staff members; Teaching Assistant for a graduate course with 55+ students
Peer Review
Peer reviewer for several scientific conferences and journals including RECOMB, Scientific Reports, BMC Bioinformatics and Signal, Image and Video Processing