"I haven't failed. I've just found 10,000 ways that won't work"

- Thomas Edison

Research Interests

 

Robotics, Human-Computer Interaction, Human-Robot Interaction, Machine Learning, Artificial Intelligence

I'm interested in developing techniques to lead a better future for humanity and greater good by combining methods from Robotics and Machine Learning. I'm also interested in creating platforms to offer purposeful leadership and define how humans should be interacting with breakthrough innovations of Human-Computer Interaction, Human-Robot Interaction and Artificial Intelligence for a sustainable future.

Experience

February 2021:

I am very grateful to be selected as a mentee in the Google Computer Science Research Mentorship Program (CSRMP). My mentor is Google Research Scientist Igor Mordatch.

 
 
 
 
 
 
 
 
 
 
September 2020:

I will be serving as a Teaching Assistant in the Direct Admit Seminar (CSE 190B) during Fall 2020. I will be organizing and leading a seminar for first-year computer science students interested in getting involved in undergraduate research and pursuing research-based careers

I am pursuing undergraduate research in Human-Centered Robotics Lab, where I'm developing a social robot to effectively measure and reduce teen-stress living in high schools, and using the EMA (Ecological Momentary Assessment) technique. My faculty mentor is Dr. Maya Cakmak.

I interned in Cisco Systems, Inc., at Seattle, WA as a software engineering intern with the Cisco Webex Platform Services team during Summer 2020. I'll be working on the features of cloud collaboration web services of Webex Teams and Webex Meetings. I am also participating in the Cisco College Intern Mentorship Program and the give back program via Global Citizen. 

March 2020:

I was an undergraduate researcher in the UW Natural Language Processing (NLP) group, where I was advised by Dr. Yejin Choi from September 2019 to March 2020. I investigated the problem of generating coherent and answerable math word problems from annotated math equations. (Technologies: Python, PyTorch & TensorBoard)