Experience

Xiberlinc Inc.

• Japan
• Biotechnology Research
• 1 - 100 Employee

• Cooperate Researcher

  • Dec 2022 - Present

  Tokyo, Japan



University of California San Diego, Swartz Center for Computational Neuroscience

• Assistant Research Scientist

  • Jul 2021 - Present

  La Jolla - Lead 8 research projects including planning, designing and documenting experiments, reporting results, and mentoring students - Partner with a company to design and validate an ultra-small mobile wireless multi-modal sensing device including EEG, ECG, PPG, body temperature, and accelerometer sensors - Pioneer objective methods to simultaneously assess multi-faceted visual functions by integrating VR with EEG and eye tracker - Propose algorithms to remove and interpolate spike noises… Show more - Lead 8 research projects including planning, designing and documenting experiments, reporting results, and mentoring students - Partner with a company to design and validate an ultra-small mobile wireless multi-modal sensing device including EEG, ECG, PPG, body temperature, and accelerometer sensors - Pioneer objective methods to simultaneously assess multi-faceted visual functions by integrating VR with EEG and eye tracker - Propose algorithms to remove and interpolate spike noises in time-series data based on an autoregressive model using Python - Organize lecture series and research intern programs that have accepted 10+ undergrad/graduate students each year

• Assistant Project Scientist

  • Jul 2019 - Jun 2021

  La Jolla - Collected behavioral and ANS data (e.g., GSR and ECG) from 50 participants in a random control trial experiment and revealed a simulator sickness treatment device reduces nausea during VR gameplay by 30% - Assisted in proposing an experimental guideline to safely test human subjects during the COVID-19 pandemic that allowed us to resume experiments 3 months after the university shut down

• Postdoctoral Fellow

  • Jul 2014 - Jun 2019

  La Jolla - Proposed various signal processing and ML algorithms that improved EEG classification accuracy by 20+% with 70% less data - Developed an online EEG-based BCI speller in Matlab, which achieved the world-highest information transfer rate of 325 bits/min - Collected EEG data from 100+ patients and healthy subjects in case-controlled clinical and within-subject cognitive experiments - Identified an EEG biomarker that discriminates patients from healthy controls, improving diagnostic… Show more - Proposed various signal processing and ML algorithms that improved EEG classification accuracy by 20+% with 70% less data - Developed an online EEG-based BCI speller in Matlab, which achieved the world-highest information transfer rate of 325 bits/min - Collected EEG data from 100+ patients and healthy subjects in case-controlled clinical and within-subject cognitive experiments - Identified an EEG biomarker that discriminates patients from healthy controls, improving diagnostic accuracy by 11\%



Japan Society of the Promotion of Science

• Japan
• Research
• 200 - 300 Employee

• Research Fellow

  • Apr 2013 - Mar 2015

  - Proposed a frequency approximation algorithm to render visual flickers at any flexible frequencies on a computer monitor regardless of its refresh rate, making it possible to prepare 40+ BCI commands


Global COE
• Spain
• Research Assistant

  • Jul 2011 - Mar 2012