Daniel Probst
researcher (ORCID 0000-0003-1737-4407)
Facts
11 properties- Instance of
- human
- Occupation
- researcher
- Employer
- Swiss Federal Institute of Technology in Lausanne (2022–2024), IBM Research – Zurich (2020–2022), University of Fribourg (2015–2016)[2][3][4]
- Educated at
- University of Bern (2016–2020), University of Bern (2014–2016)[5][6]
- Official website
- danielprobst.science[10]
- Different from
- Daniel Probst[11]
- Imported from
- wholeness_audit_2026-05-02
- Social media followers
- 11,383[12]
🏷️ Also known as
en Daniel Probst
en Probst D
🔖 Identifiers · 7
- ORCID iD
- 0000-0003-1737-4407
- OpenAlex ID
- A5046410250as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- GitHub account
- daenuprobst
- Google Scholar author ID
- TNNgroIAAAAJ
- Mastodon address
- skepteis@skepteis.social (2022–present)
- Scopus author ID
- 57194066195
- X (Twitter) username
- skepteis (2017–present)
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 17
Alchemical analysis of FDA approved drugs,
A Machine Learning-Genetic Algorithm (ML-GA) Approach for Rapid Optimization Using High-Performance Computing,
An explainability framework for deep learning on chemical reactions exemplified by enzyme-catalysed reaction classification,
A probabilistic molecular fingerprint for big data settings,
Biocatalysed synthesis planning using data-driven learning,
EnzymeMap: curation, validation and data-driven prediction of enzymatic reactions,
Exploring Chemical Space with Machine Learning,
Exploring DrugBank in Virtual Reality Chemical Space
+9 more
← Authored by 17
Alchemical analysis of FDA approved drugs,
A Machine Learning-Genetic Algorithm (ML-GA) Approach for Rapid Optimization Using High-Performance Computing,
An explainability framework for deep learning on chemical reactions exemplified by enzyme-catalysed reaction classification,
A probabilistic molecular fingerprint for big data settings,
Biocatalysed synthesis planning using data-driven learning,
EnzymeMap: curation, validation and data-driven prediction of enzymatic reactions,
Exploring Chemical Space with Machine Learning,
Exploring DrugBank in Virtual Reality Chemical Space
+9 more
Press Enter · cited answer in seconds
0 sources
Summary
Daniel Probst worked as a researcher[1].
Body
Education
Educated at University of Bern[5], a comprehensive university[13], in Switzerland[14], founded in 1834[15], headquartered in Main building of the University of Berne[16].
Career and Affiliations
Employers include Swiss Federal Institute of Technology in Lausanne[2], a public university[17], in Switzerland[18], founded in 1969[19]; IBM Research – Zurich[3], a research institute[20], in Switzerland[21], founded in 1956[22], headquartered in Rüschlikon[23]; and University of Fribourg[4], a public university[24], in Switzerland[25], founded in 1889[26].
FAQs
What did Daniel Probst do for work?
Daniel Probst worked as researcher[1].
Where did Daniel Probst go to school?
Daniel Probst was educated at University of Bern[5] and University of Bern[6].