My career goal is to make machine learning more useful to more people.
To that end, I am an architect in Microsoft’s Cloud and AI division. There, I work with the Database and Developer Tools groups to bring machine learning to app developers, using properly and responsibly managed data. Prior to my current role, I led the team which launched ML.NET into Open Source. ML.NET is Microsoft’s machine learning toolkit. I also started and open sourced what is now known as Apache REEF.
- Microsoft ML.NET: Machine learning for .NET developers. Open Source and cross platform.
- Apache REEF: A standard library for writing high performance applications on Big Data clusters.
- ScalOps A domain specific language for distributed, larger scale data analytics and machine learning.
- DIOS: A large scale machine learning library used at Yahoo!
- CofiRank: A collaborative filtering algorithm that supports predicting the ranking of items as opposed to mere rating.
- BMRM: Open source, modular and scalable convex solver for many machine learning problems cast in the form of regularized risk minimization problem.
- Elefant: A machine learning toolbox. My contributions include a bridge that renders UIMA annotators into feature extraction tools for machine learning. This code is Open Source under the Mozilla Public License.
- DkPro: A set of UIMA annotators developed at TU Darmstadt.
- Test of Time Award, ECML 2018.
- Doctorate summa cum laude in Computer Science from TU Darmstadt, 2009
- Best Machine Learning Paper at ECML-PKDD 2008
- Scholarship award at the Machine Learning Summer School 2006
- Diploma (masters’ equivalent) summa cum laude in Computer Science and Business Administration from TU Darmstadt, 2005
- 2019: PC Member ICML 2019, SIGMOD 2019, SysML 2019
- 2018: PC Member of SysML 2018
- 2017: Demonstrations and Competitions Chair for NIPS 2017
- 2016: Co-Chair for KDD Cup 2016. Reviewer / PC Member: HotCloud, USENIX ATC, VLDB
- 2015 Organizer of Learning Systems 2015. Reviewer / PC Member: NIPS, KDD
- 2014: PC Member: KDD, ACM Recommender Systems, NIPS
- 2013: PC Member CIKM 2013, ACM RecSys 2013, SIGMOD 2013, NIPS 2013, SOCC 2013; Tutorials on large scale machine learning at ICDE and SIGMOD
- 2012: New Templates for Scalable Data Analysis Tutoria at WWW 2012; PC-Member KDD, ICML, Hadoop Summit 2012
- 2011: Organizer KDD Cup; PC-Member: KDD, HetRec, BigLearn, CMPL, AISTATS, ICANN
- 2010: Organized HetRec 2010; PCMember: NIPS, ACM Recommender Systems, ICML, AISTATS, ECML/PKDD, MLOSS ‘10, IEEE Transactions on Knowledge and Data Engineering (TKDE) and the Special Issue of the Journal of Web Semantics on “Bridging the Gap” – Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0
- 2009: Organized iatel09; PC Member: Deutsche KI-Konferenz, KDD, ECML/PKDD, Workshop on Social Information Retrieval for Technology-Enhanced Learning (SIRTEL’08) in the International Conference on Web-based Learning (ICWL) 2009
- Sergey Dudoladov: Summer intern at Microsoft, 2016
- Ignacio Cano: Summer intern at Microsoft, 2015
- Alex Beutel: Summer intern at Microsoft, 2014
- Arun Kumar: Summer intern at Microsoft, 2013
- Daniel Glöckner: Collaborative filtering of framework code, Diploma thesis at TUD.
- Kai Michael Höver: Ranking im Web 2.0. Diplomarbeit an der TU Darmstadt.
- David Koch: Study of the discrepancy between client- and server side logging of clickstreams. Master’s Thesis at the KTH Stockholm.
- Yahoo! Research: My focus there was anti-abuse and web scale machine learning.
- I obtained my PhD as a student in the graduate school for the improvement of e-learning at the computer science department of the Technische Universität Darmstadt, Germany. I worked on applications of machine learning in elearning. To do so, I was lucky enough to gather support by two supervisors: Max Mühlhäuser (TUD) and Alex Smola.
- Yahoo! Labs: Research intern. I worked on email spam filters in the SPARTA project.
- Statistical Machine Learning Program of NICTA: Visiting Scholar
- Data Mining Group MINE of Fraunhofer’s Integrated Publication and Information Systems Institute (IPSI): Research associate
- Centre for Complex Systems and Control (CDSC) at The University of Newcastle, Australia: Visiting Scholar