David Froelicher

Research Manager

Swisscom Digital Lab

Hi, I’m David Froelicher, a Research Manager at the Swisscom Digital Lab. Together with Master’s students from Swiss universities, we tackle real-world research challenges, bridging the gap between academia and industry across diverse fields like analytics, networking, AI, and security.

Before joining Swisscom in 2024, I completed a postdoctoral fellowship at MIT, where I focused on secure distributed analytics, AI, and genomic privacy, leveraging advanced privacy-enhancing technologies and distributed algorithms.

Earlier in my academic journey, I earned my PhD from EPFL in 2021, specializing in the design of cryptography-based solutions for secure distributed computation. I also hold a Bachelor’s (2014) and Master’s (2016) degree in Computer Science, with a focus on IT security, from EPFL.

Contact

david.froelicher2@swisscom.com
Swisscom Digital Lab, 1015 Lausanne

Education

Postdoctoral Fellowship, 2022-2024
MIT & The Broad Institute of MIT and Harvard
Ph.D. in Computer Science, 2016-2021
École Polytechnique Fédérale de Lausanne (EPFL)
Bachelor (2014) & Master (2016) of Science in Communication Systems
École Polytechnique Fédérale de Lausanne (EPFL)

Skills

90%

Statistics

100%

Photography

10%

Experience

CEO

GenCoin

January 2021 – Present California

Responsibilities include:

Analysing
Modelling
Deploying

Professor of Semiconductor Physics

University X

January 2016 – December 2020 California

Taught electronic engineering and researched semiconductor physics.

Accomplishments

Neural Networks and Deep Learning

Coursera Jan 2021

See certificate

Blockchain Fundamentals

edX Jan 2021

Formulated informed blockchain models, hypotheses, and use cases.

See certificate

Object-Oriented Programming in R

DataCamp Jul 2020 – Dec 2020

See certificate

Projects

Example Project

An example of using the in-built project page.

External Project

An example of linking directly to an external project website using external_link.

Gallery

Featured Publications

Recent Publications

Quickly discover relevant content by filtering publications.

H. Cho, David Froelicher, N. Dokmai, A. Nandi, S. Sadhuka, M. Man-Hou Hong, B. Berger (2024). Privacy-Enhancing Technologies in Biomedical Data Science. Annual Review of Biomedical Data Science.

PDF Link

M. Hong, David Froelicher, R. Magner, V. Popic, B. Berger, H. Cho (2023). Secure Discovery of Genetic Relatives across Large-Scale and Distributed Genomic Datasets. Recomb 2024 (M.H. received best student paper award) & Under Revision at Genome Research.

Code bioRxiv

H. Cho, David Froelicher, J. Chen, M. Edupalli, A. Pyrgelis, J. R. Troncoso-Pastoriza, J.-P. Hubaux, B. Berger (2023). Secure and Federated Genome-Wide Association Studies for Biobank-Scale Datasets. Under review.

PDF Cite Code Link

David Froelicher, H. Cho, M. Edupalli, J. S. Sousa, J.-P. Bossuat, A. Pyrgelis, J. R. Troncoso-Pastoriza, J.-P. Hubaux, B. Berger (2023). Scalable and Privacy-Preserving Federated Principal Component Analysis. IEEE Symposium on Security & Privacy 2023.

PDF Cite Link Trailer Video Video

S. Mendelsohn, David Froelicher, D. Loginov, D. Bernick, B. Berger, H. Cho (2023). sfkit: A Web-Based Toolkit for Secure and Federated Genomic Analysis. Nucleic Acids Research 2023.

PDF Cite Link

See all publications