Nikolaos Kosmas Chlis¶

AI Engineer | Data Scientist

Also interested in other Data Science applications, such as

2015-2018, PhD Fellowship, German Research Foundation (DFG)
2014-15, Graduate Studies Scholarship, Onassis Foundation
2014, Monetary Prize, Maritime Hearth of Greece
2013, Award of Academic Excellence, Technical University of Crete (top of graduating class)
2013, Award of Academic Excellence, Limmat Stiftung
2013, Monetary Prize, Maritime Hearth of Greece
2012, Monetary Prize, Maritime Hearth of Greece
2011, Scholarship of Academic Excellence, Technical University of Crete
2011, Scholarship of Academic Excellence, State Scholarships Foundation of Greece
2011, Monetary Prize, Maritime Hearth of Greece
2010, Scholarship of Academic Excellence, Technical University of Crete
2008, Monetary Prize, Eurobank, top of graduating class in high-school

Apr. 2020 - Present
Scientist / Matrix Lead in Immunology & Data Science
Roche Pharmaceutical Research and Early Development (pRED)
Roche Innovation Center Munich

Nov. 2019 - Mar. 2020
Postdoctoral Researcher, Helmholtz Center Munich, IBMI, Clinical Translation group

2015 - Oct. 2019
Reseach Assistant, Helmholtz Center Munich ICB, Machine Learning group

Machine Learning for Computational Biology
Development of Deep Learning methods for Imaging Flow Cytometry data
Development of Deep Learning methods for biological and biomedical computer vision projects
Development of Unsupervised Learning (clustering) methods for single-cell RNA-Seq data
Supervision and Mentoring of Machine Learning M.Sc. students/theses

2013 - 2015
Reseach Assistant, TUC Digital Image and Signal Processing Laboratory

Machine Learning for DNA Microarray Analysis
OncoSeed Diagnostics Project: Biology of Circulating Tumour Cells Distal Metastasis & Development of Liquid Biopsy Methods
Development of Machine Learning methods for stable and reliable gene signature extraction from DNA Microarray data

2012 - 2013
Undergraduate Reseach Assistant, TUC Digital Image and Signal Processing Laboratory

Development of Machine Learning methods for stable and reliable gene signature extraction from DNA Microarray data

Dr. rer. nat. in Machine Learning & Computational Biology
Thesis submitted in 2019, Technical University of Munich (TUM), School of Life Sciences Weihenstephan
Thesis: From RNA-sequencing to imaging flowcytometry: Profiling large single-cell datasets with machine learning
Advisor: Professor Dr.Dr. Fabian Theis

M.Sc. in Electronic and Computer Engineering
Received in 2015 from the Technical University of Crete (TUC), School of Eletronic & Computer Engineering
M.Sc. Thesis: Machine Learning Methods for Genomic Signature Extraction
Advisor: Professor Michalis Zervakis

Diploma in Electronic and Computer Engineering - Top of Graduating Class
Received in 2013 from the Technical University of Crete (TUC), School of Eletronic & Computer Engineering
M.Sc. Thesis: Comparison of Statistical Methods for Genomic Signature Extraction
Advisor: Professor Michalis Zervakis