Dr. Dominik Linzner
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Dominik Linzner
- Current 3 years and 11 months, since Jul 2022
Data Scientist
BASF
Digitalisierung der Forschung
- Current 5 years and 4 months, since Feb 2021
Machine Intelligence Engineer
Kausa.ai
- Development and implementation of novel machine learning algorithms (causal inference) for augmented analytics (prototyping in Python/ product-ready in Rust) - Analyzing (Jupyter/Python/Rust) high-dimensional real-world (Snowflake/S3) data (.parquet/.csv) - Shaping the product from an early stage - Back-end development (Algorithm/ETL/API) - Setting up APIs (REST and gRPC) between microservices (Docker/Kubernetes/AWS)
- 3 years and 9 months, Apr 2017 - Dec 2020
Ph.D. Student, Probabilistic Machine Learning
TU Darmstadt
- Grade: With distinction - Development of scalable methods (Bayesian inference/Variational inference/ Causal inference) for continuous-time multi-agent dynamics on Graphs (Matlab/Python) - Writing of academic papers - Supporting Master- and Bachelor students during their thesis - Leveraging HPC
- 4 months, Dec 2016 - Mar 2017
Wissenschaftlicher Mitarbeiter
TU Kaiserlautern
Implementation of tensor-network based algorithms for the simulation of quantum many-body systems.
- 8 months, Mar 2013 - Oct 2013
Wissenschaftlicher Assistent
TU Kaiserslautern
Designed appliances for vacuum experiment and programming data evaluation routines from photo-electron emission microscopy (PEEM) experiment in C++
Ausbildung von Dominik Linzner
- 3 years and 10 months, Mar 2017 - Dec 2020
Elektrotechnik
Technische Universität Darmstadt (TU Darmstadt)
Mit Auszeichnung bestanden
- 3 months, Jun 2014 - Aug 2014
Mathematics
IIT Madras
Conception and implementation of advanced numerical methods (ADI-methods) for simulating the dynamics of heat cloaking setups. Homepage: https://math.iitm.ac.in/public_html/slnt/index.htm
- 5 years and 9 months, Apr 2011 - Dec 2016
Theoretische Physik
TU Kaiserslautern
Note: 1.0 Diploma thesis: Numerical simulations using tensor-networks and analytics for topological quantum-matter subject to loss. Publication: https://journals.aps.org/prb/abstract/10.1103/PhysRevB.94.201105
- 1 year, Apr 2010 - Mar 2011
Biophysics
TU Kaiserslautern
Sprachen
English
C1 (Fließend)
German
C2 (Verhandlungssicher / Muttersprachlich)
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