Marco Bühler

Marco Bühler

Marco Bühler

Student / Programme Doctorate at D-CHAB

ETH Zürich

Chemisches System-Engineering

HCI G 143

Vladimir-Prelog-Weg 1-5/10

8093 Zürich

Switzerland

Additional information

Research area

Marco Bühler joined the Sustainable Process Engineering Lab as a PhD student in 2024, following a Master’s degree in Chemical and Bioengineering from ETH Zürich, where he wrote a thesis on designing synthetic peptides to modulate biomolecular condensate behavior using MILP and Machine Learning. He is currently researching symbolic regression and interpretable machine learning techniques under the supervision of Prof. Gonzalo Guillén Gosálbez.

Alongside research, Marco works as a teaching assistant for Chemometrics and Machine Learning for Chemical Engineers. His work contributes to broader questions in machine learning in engineering subjects, with a focus on equation discovery in dyamic systems.

Work Experience

Since 10/2024PhD     Student in Chemical Engineering, ETH Zürich

10/2023-02/2024      Research Assistant, Functional Materials Lab, ETH Zürich

03/2023-05/2023      Downstream Process Modelling Engineer, DataHow AG

02/2023-07/2023      Teaching Assistant, Chemometrics and Machine Learning for Chemical Engineers, ETH Zürich

09/2022-02/2023      Internship, Upstream Process Modelling Engineer, DataHow AG

04/2022-07/2022      Research Assistant, Functional Materials Lab, ETH Zürich

Education

2023-2024              Master of Science in Chemical and Bioengineering, ETH Zürich

02/2024-08/2024    Master Thesis, ETH Zürich

2019-2021              Bachelor of Science in Chemical Engineering, ETH Zürich

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