Short CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D. in Artificial Intelligence, Swiss AI Lab (IDSIA), 2020-

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Publications

Automatic Seizure Detection by Modified Line Length and Mahalanobis Distance Function.

General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States

Goal-Conditioned Generators of Deep Policies

Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits

Exploring through Random Curiosity with General Value Functions

Presentations

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Teaching

Teaching experience 1

Teaching experience 2

Reviewing

• A Roadmoad to Never-Ending Reinforcement Learning Workshop at International Conference on Learning Representations (ICLR) 2021
• Sub-reviewer at International Conference on Learning Representations (ICLR) 2021
• Sub-reviewer at Conference on Neural Information Processing Systems (NeurIPS) 2020