Since August 2016, I have been an undergraduate researcher in the BLISS lab, working under Professor Anant Sahai. I work primarily with graduate student Vidya Muthukumar. We are looking at algorithms for sequence prediction and are looking to develop a more expressive predictor by incorporating periodicity as a feature in our prediction scheme.
From August 2015 to July 2016, I was an undergraduate researcher in the Maharbiz Group, under Professor Michel Maharbiz, as part of the Swarm Lab. I work with graduate student Travis Massey. Travis is working on a microwire array which can be inserted into the brain to extract useful information. The device is made of carbon fiber tubes inserted into a silicon substrate. This is at the micron scale for minimal tissue damage. My work was primarily on the software side of a robot that automated the process of feeding the carbon fiber tubes into the holes on the silicon substrate.
From September 2012 to September 2013, I was a research intern at the National Institute of Environmental Health Sciences (NIEHS/NIH) in the Biostatistics Branch. I worked with Dr. Keith Shockley and Dr. Grace Kissling. We proposed a normalization technique to reduce systematic error in quantitative high throughput screening (qHTS) data. I was awarded Intel Science Talent Search (STS) semifinalist for this work.
Open-source Automated System for Assembling a High-Density Microwire Neural Recording Array
Travis L. Massey, Joong Hwa Lee, Mitas Ray, Nikhil S. Sathe, Xing Liu, Kristofer S.J. Pister, Michel M. Maharbiz
MARSS, International Conference on Manipulation, Automation and Robotics at Small Scales. Paris, France. July 18-22, 2016
Minimizing Systematic Errors in Quantitative High Throughput Screening Data using Standardization, Background Subtraction, and Non-Parametric Regression
Mitas Ray, Keith Shockley, Grace Kissling
The Journal for Experimental Secondary Science (JESS). April 2014, Vol 3, Issue 2; Page 1-5; ISSN#2162-8092