- Built and led ML2, an independent research team within a semiconductor and display solutions company, from the ground up with a focus on advanced machine learning research and engineering.- Published an ICML 2021 paper (short presentation) and an ACS photonics paper (front cover).-- Daniel Wontae Nam, Younghoon Kim, Chan Y. Park, “GMAC: A Distributional Perspective on Actor-Critic Framework”, ICML 2021, http://proceedings.mlr.press/v139/nam21a.html-- Dongjin Seo†, Daniel Wontae Nam†, Juho Park, Chan Y. Park*, Min Seok Jang*. “Structural optimization of 1D freeform metagrating deflector via deep reinforcement learning”, ACS Photonics, https://doi.org/10.1021/acsphotonics.1c00839

• Built a data-based personalized cosmetics recommendation system and manufacturing platform.• Managed the development of iOS and Android mobile apps for providing personalized cosmetics data.

• Built a deep learning project covering computer vision, natural language processing, and web service for data visualization, which is presented to 10+ start-ups in the greater NY area.

• Performed numerical and analytic studies of supersymmetric gauge theories using Python, SciPy stack, SageMath, and Mathematica.• Developed a full stack web application to study Seiberg-Witten theory, presented at 2016 Scientific Python conference, chan-y-park.github.io/blog/scipy_2016_talk.html.

• Built an embedded operating system for an atomic force microscope (AFM) electronic controllers based on Motorola Sandpoint reference platform, including customizing the kernel and the device drivers of NetBSD.• Developed a prototype force constant calibration module of AFM cantilevers by using National Instruments data acquisition hardware & Measurement Studio in collaboration with National Physical Laboratory, UK.

• Developed a web search engine query recommendation system for NATE.com, a top 3 web portal in Korea, using Visual C++ and MS-SQL on Windows Server.• Created administrative user interface of Yahoo! Korea DB search system using PHP and MySQL.