I work in Google Research, New York. I am interested in NLP and deep retrieval applications of machine learning.

Before, I completed a PhD under supervision of Trevor Cohn and Kalina Bontcheva. You can find my thesis here.

Selected Papers

Semantic Label Smoothing for Sequence to Sequence Problems
Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix Yu, Sanjiv Kumar. In EMNLP, 2020.
Text Segmentation by Cross Segment Attention
Michal Lukasik, Boris Dadachev, Gonçalo Simões, Kishore Papineni. In EMNLP, 2020.
Does label smoothing mitigate label noise?
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar. In ICML, 2020.
Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann. In KDD, 2020.