Team

TOM is a team of highly qualified and motivated researchers with interests in specifics of technology-based enterprises and global supply chains. TOM’s collaborators typically have an engineering or mathematical background and are typically financially supported by the CDM while working toward their PhD. TOM is directed by Professor Ralf W. Seifert.

Our Team

Former Members

Former Members page >>

 

Prof. Dr. Ralf W. Seifert


EPFL – TOM
Odyssea 1.03, Station 5
1015 Lausanne – Switzerland

Phone: +41 21 693 00 22
Fax: +41 21 693 00 20
[email protected]

Ralf W. Seifert is Professor of Technology & Operations Management (TOM) at the College of Management of Technology (CDM) at Ecole Polytechnique Fédérale de Lausanne (EPFL). In addition, he serves as Professor of Operations Management at IMD International.

Professor Seifert earned his Ph.D. and M.S. degree in the Department of Management Science and Engineering at Stanford University, a Diplom-Ingenieur degree in Mechanical Engineering from the University of Karlsruhe (TH), and a Masters degree in Integrated Manufacturing Systems Engineering from North Carolina State University. In addition, he spent one year as a Visiting Scholar in Operations Research at Waseda University in Tokyo. Professor Seifert is a citizen of Germany and Switzerland.

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Ilona Ball

Administrative Assistant
EPFL – TOM
Odyssea 3.16, Station 5
1015 Lausanne – Switzerland

Phone: +41 21 693 00 39
Fax: +41 21 693 00 20
[email protected]

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Dr. Anna Timonina-Farkas

EPFL – TOM
Odyssea 3.15, Station 5
1015 Lausanne – Switzerland

[email protected]

Anna Timonina-Farkas is a scientific researcher in the field of Operations Research and Operations Management at TOM EPFL. Her focus is on theory and data-driven solution methods in multi-stage optimization under model and decision-dependent uncertainties. Before joining EPFL, she served as a Research Scholar at the Risk, Policy and Vulnerability program at the International Institute for Applied Systems Analysis (Vienna, Austria), developing optimal governmental strategies for natural disaster risk-management. Further, as the recipient of a Schrödinger Fellowship from the Austrian Science Fund, she conducted postdoctoral research at the Risk, Analytics and Optimization Department at EPFL. She has received several grants and awards for the quality of her research (Enterprise for Society grant, 2022; University of Vienna Publication Award, 2017; Schrödinger Fellowship, 2015; Best Student Paper Prize at CMS, 2013; IIASA’s Mikhalevich Award, 2011). She is also a holder of the licensing rights with TTO EPFL (FindeX technology) for the ranking of growing networks.

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Qi Yi

EPFL – TOM
Odyssea 4.16, Station 5
1015 Lausanne – Switzerland

[email protected]

Yi Qi holds an M.Sc. degree in Industrial Engineering from Tongji University in China, and he previously earned his B.Sc. degree in Mechanical Engineering from Nanchang University. Additionally, he spent a year as an exchange student in Mathematics at EPFL. His past academic interests have encompassed areas such as machine learning, production and preventive maintenance optimization. In September 2023, he joined the Chair of Technology and Operations Management (TOM) to pursue a PhD, focusing on researching supply chain resilience through various optimization methodologies.

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Research Assistants

Tim Wiebelhaus

Tim is a professional in Information Systems Management, currently pursuing his M.Sc. at TU Berlin. During his studies he has conducted an exchange semester at UNSW Sydney as well as now here at EPFL. He has garnered extensive experience across a spectrum of roles, from being Product Manager at two Berlin based FinTech startups to having worked in various departments within SAP. He will now work on a project called FindeX in the field of Operation Research and Computer Sciences, combining his experience in Finance and Programming.

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Thomas Srour

Thomas Srour obtained his Bachelor’s degree in Communication Systems from EPFL in 2022. He is currently pursuing a Master’s degree in Data Science and Financial Engineering.

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