Stefan Richter
Forscher (Postdoktorand) at Ruprecht-Karls-Universität Heidelberg
Dossenheim, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolStefan Richter is a mathematically trained researcher and postdoctoral statistician with over a decade of experience in machine learning, time series analysis and econometrics. He holds a PhD (summa cum laude) in mathematics from Heidelberg and has blended deep theoretical work with practical implementation and visualization in R and Python. Stefan has taught and organised courses for audiences from small seminars to lectures of 800 students, and authored a book surveying statistical and machine learning methods. He is practiced at translating complex algorithms into clear, time-efficient presentations and at quantifying statistical uncertainty for real-world decision making. His recent research spans neural networks, nonparametric statistics and locally stationary processes, reflecting a rare combination of rigorous theory and applied data-science craftsmanship. Based in Dossenheim, Germany, he pairs academic rigor with event and project management experience that helps move research into practice.
10 years of coding experience
Doktor (Ph.D.), Mathematik, Summa cum laude, Doktor (Ph.D.), Mathematik, Summa cum laude at Ruprecht-Karls-Universität HeidelbergAbitur, 1.0, Abitur, 1.0 at Landesgymnasium Sankt Afra
Github Skills (31)
docking9
bioinformatics9
proteins9
computational-biology9
interaction9
genomics8
biophysics7
sequence-alignment7
perf7
phylogenetics7
trace7
drug-discovery7
protein-structure6
python6
cvs6
Programming languages (6)
Github contributions (5)
HITS-MCM/tauRAMD
Oct 2021 - Mar 2023
Computation of the drug-target relative residence times from RAMD simulations
Contributions:1 review, 23 commits, 1 PR in 1 year 4 months
StefanGIT/hbp-sp6-guidebook
May 2020 - May 2020
Contributions:2 pushes in 6 days
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