| Profile

Wittawat Jitkrittum is a research scientist at Google Research. From 2018 to 2020, he was a postdoctoral researcher working with Bernhard Schoelkopf at Max Planck Institute for Intelligent Systems, Tuebingen, Germany. He earned his PhD in 2017 from Gatsby Unit, University College London with a thesis on informative features for comparing distributions. He received a best paper award at NeurIPS 2017 and the ELLIS PhD award 2019 for outstanding dissertation. Wittawat has broad research interests covering kernel methods, deep generative models, and approximate Bayesian inference. He served as a publication chair for AISTATS 2016, a program committee for NeurIPS, ICML, AISTATS, among others, and is a co-organizer of the Machine Learning Summer School 2020, the Southeast Asia Machine Learning School (SEAMLS 2019) in Indonesia and a co-organizer of the Machine Learning Research School (MLRS) in Thailand.

Wittawat’s full CV can be found here.

2017	PhD in Machine Learning Gatsby Unit, University College London
2012	MEng in Computer Science Sugiyama lab, Tokyo Institute of Technology
2009	BSc in Computer Science Sirindhorn International Institute of Technology (SIIT), Thammasat University

2019	ELLIS PhD Award Outstanding research achievements during the dissertation phase. For my PhD thesis.
2017	NeurIPS 2017 Best Paper Awarded to 3 out of 3240 submissions to NeurIPS 2017. Media coverage as podcast by TWiML & AI
2013	Gatsby Unit Studentship (PhD study) Full scholarship with stipend for PhD study.
2010	Okazaki Kaheita Scholarship (master study) Full scholarship with stipend for master study.
2010	Second Prize at National Software Contest (NSC) Category: Thai Language Processing Project: Thai Text Tokenization with a Binary Classifier
2009	Second Prize at National Software Contest (NSC) Category: Software for Scientific Development Project: Question Answering System for Thai Wikipedia
2009	Honor Award from King Bhumibol Adulyadej (รางวัลเรียนดี “ทุนภูมิพล”)
2004	Thai Wacoal Scholarship Full scholarship for a one-year intensive Japanese program at Waseda Education (Thailand)

Review for

2022	Co-organizer of Online Asian Machine Learning School (OAMLS) 2022, Virtual
2021	Co-organizer of Online Asian Machine Learning School (OAMLS) 2021, Virtual
2020	Co-organizer of Machine Learning Summer School (MLSS) 2020, Tuebingen, Germany
2019	Co-organizer of Southeast Asia Machine Learning School (SEA MLS) 2019, Jakarta, Indonesia
2019	Co-organizer of Machine Learning Research School (MLRS) 2019, Bangkok, Thailand

Stein’s Method: The Golden Anniversary, National University of Singapore	7/2022
Deep Learning and Artificial Intelligence Summer School 2021, Thailand	5/2021
IBM Research, NY, USA. Virtual talk on model comparison of generative models.	12/2020
EURECOM, France (virtual talk)	11/2020
NeurIPS 2019 Tutorial (audience size: 3000+).	12/2019
Swiss Data Science Center, Zurich	10/2019
Data, Learning and Inference (DALI) 2019, Spain	9/2019
Vidyasirimedhi Institute of Science and Technology (VISTEC), Thailand	12/2018
Vidyasirimedhi Institute of Science and Technology (VISTEC), Thailand	3/2018
Chulalongkorn University, Thailand	3/2018
Bangkok Machine Learning Meetup	3/2018
Workshop on Functional Inference and Machine Intelligence, Japan	2/2018
Department of Computer Science, University of Bristol	12/2017
MLTrain Workshop: Learn How to Code a Paper at NeurIPS 2017	12/2017
Probabilistic Graphical Model Workshop II, The Institute of Statistical Mathematics, Japan	2/2017
Sugiyama-Sato Lab, University of Tokyo	4/2016
Probabilistic Graphical Model Workshop, The Institute of Statistical Mathematics, Japan	3/2016