Background / Short-Bio

I am currently pursuing a Ph.D. from the Tokyo Institute of Technology (Tokodai) in the Dept. of Systems and Control Engineering at Okutomi Tanaka Lab. My supervisors are Professors Masayuki Tanaka, and Masatoshi Okutomi. Moreover, I am collaborating with Hugo Larochelle on ML generalization and computer vision research topics. My publications, patents, and other research related activities are available on Research tab.

Previously, I worked at Woven by Toyota as a Data Scientist, where I was part of the Self-Driving Recognition/Perception AD/ADAS team from 2021 to 2022. At Woven, I worked on research problems related to few-shot object detection, scene tags image classification, and road marking recognition. Furthermore, I worked at Rakuten (Rakuten Institute of Technology - R&D Dept) as a Research Scientist from 2018 to 2021, where I utilized deep learning, machine learning, and reinforcement learning to solve computer vision, finance, cybersecurity, and e-commerce related research problems. In Rakuten, I worked under the supervision of Bjorn Stenger, Bruno Charron, and Mitsuru Nakazawa. During my master’s, I worked under the supervision of Prof. James Wolf for my master’s project.


  • Jan 2024, Oral presentation in WACV Workshop for the paper “Consolidating separate degradations model via weights fusion and distillation”.
  • Jan 2023, Started a research internship at Polytechnique Montreal on the Efficient Neural Network topic for four months.
  • Jan 2023, Oral presentation in Electronic Imaging Symposium for the conference paper titled “ILIAC: Efficient classification of degraded images using knowledge distillation with cutout data augmentation” in San Francisco on 19 Jan 2023.
  • May 2017, Invited talk in Python Conference on master’s project at Intel-sponsored booth.