Headline

Research Assistant at The Smith-Kettlewell Eye Research Institute Master of Information and Data Science Student at UC Berkeley School of Information

About

I am a person driven by the problems that need to be solved (putting the science before the data). I have spent the last 9 years working under some of the greatest scientific minds in the field of neuroscience seeking to answer questions on the fringes of our current understanding of the brain. Through my work I have gained extensive experience in R, Python and MATLAB with a full mastery of the latter. Additionally, academic research has allowed me to push these skills even further by create data processing pipelines to characterize data in new ways. This has yielded: - analysis programs for computer model simulation data of the human visual system (presented at multiple conferences) - a new midline visual stimulus designed using a combination of MATLAB code and Arduino programming - analysis programs that yielded a paper that could change the understanding of the control of eye movements (published in one of the most prestigious journals in the field) Working in academic research has also afforded me the opportunity to not only design pipelines but educate others on them as well. I have: - onboarded interns and new employees to the current data processing pipelines we use - presented our methods of analysis at global conferences - ran a multi-day workshop on MATLAB data processing Furthermore, my responsibilities extend further than just the data I work with. I have extensive experience with management of the lab and those in it. My roles in this regard have included: - managing new employees - coordinating projects between multiple labs across the world - handling the administrative responsibilities required of the labs that I am in My skills include: MATLAB, R, Python, Git, Github, HTML, SQL, data analysis, EEG data analysis, computer vision modeling, Simulink, arduino programming, research paper writing, data management, lab management My achievements: Abstracts accepted at the annual meetings of Society for fNIRS research (2018), Association for Research in Vision and Ophthalmology (2021,2022), Society for Neuroscience (2021,2022,2023,2024,2025), and Vision Sciences Society (2021,2022,2023,2024,2025,2026). Published a paper in Nature Scientific Reports (2021). I am currently looking for a position in the field of UX/UI research or data science.

Location

San Francisco Bay Area

Work experience

Research Assistant at The Smith-Kettlewell Eye Research Institute, Feb 2019 - Present · 7 yrs 5 mos, San Francisco, CA, Worked for Dr. Arvind Chandna, a pediatric ophthalmologist, and Dr. Stephen Heinen, a senior scientist. Their research involved the investigation of visual responses to stimuli during both binocular and monocular viewing using behavioral psychophysics through the use of cutting-edge eye-trackers, Arduino controlled experimental stimuli and computer vision models. My role is to code the experimental protocols and subsequent post-hoc analysis techniques using both MATLAB and Simulink. These studies have yielded publications in renowned journals and presentations at global conferences, on all of which I am a co-author. I also ran workshops to train new researchers in utilizing the previously designed analysis pipelines for their own experimental data. Outside of my research roles, I help manage Dr. Chandna’s projects related to understanding and diagnosing cerebral visual impairment which now have a global reach across every continent. Additionally, I handle all administrative duties for both Dr. Heinen and Chandna’s labs.

Intern at NASA Ames Research Center, Jun 2018 - Aug 2018 · 3 mos, Mountain View, California, United States, Worked in Dr. Jing Li’s Nanosensor lab. Designed an apparatus to test the ability of the carbon nanotube-based materials deposited on a sensor placed in a cell phone to give the same readings at different humidities and temperatures. Had the opportunity to engage with and view presentations made by leading scientists in many different fields. Achievements: Presented Research at NASA Ames Intern Poster Symposium

General Chemistry Teaching Assistant at University of Illinois at Urbana-Champaign, Jan 2018 - May 2018 · 5 mos, Urbana-Champaign, Illinois Area, Taught more than 70 students across three different discussion sections of CHEM 104, the second half of general chemistry at the University of Illinois at Urbana-Champaign. Held review sessions and ran course exams.

General Chemistry Lab Instructor at University of Illinois at Urbana-Champaign, Aug 2017 - Dec 2017 · 5 mos, Urbana-Champaign Area, Taught over 120 students across four sections of CHEM 103, the first chemistry lab course in the general chemistry curriculum at the University of Illinois at Urbana-Champaign. Managed lab integrity and student safety. Met with other Lab Instructors weekly to practice course materials and laboratory techniques in advance of student teaching. Achievements: Excellent Teachers list

Undergraduate Research Assistant at Mobility and Fall Prevention Research Laboratory, Jan 2017 - May 2018 · 1 yr 5 mos, University of Illinois at Urbana-Champaign, Worked directly with the lab’s principal investigator, Dr.Manuel Hernandez, to design processing pipelines for experiments conducted by Ph.D. students in the lab. Also aided with the collection of experimental data for these experiments. Processing pipeline was made to convert data obtained from treadmill walking and fNIRS headset to viewable graphs and tables. This involved the use of programs in R, Matlab, and Python. The experiments in the lab involved studying the mobility of the elderly community in the Champaign-Urbana area, especially those suffering from neurodegenerative diseases like Multiple Sclerosis and Parkinson’s, in an effort to reduce their fall risk. Achievements: Presented Research at Undergraduate Research Symposium

Intern at NASA Ames Research Center, Jun 2017 - Aug 2017 · 3 mos, Mountain View, California, United States, Worked alongside Dr. Jing Li and her Ph.D. interns in her Nanosensor Lab. Deposited carbon nanotube-based materials on sensor chips. Tested chips to see differences in reactivity of the materials across different changes and patterns of changes in humidity.

Education

Masters of Information and Data Science, Data Science, UC Berkeley School of Information

Data Science, DataCamp