Vikash Singh studied Computational and Systems Biology with a concentration in Computers and Biosystems. With years of research experience, starting with breast cancer as a high school sophomore, and transitioning to machine learning/AI at the Cedars Sinai Artificial Intelligence in Medicine (AIM) program directly after graduating high school, he is passionate about harnessing innovation in science and technology to drive positive change in healthcare. At Cedars Sinai AIM, Vikash's research focused on deep learning and the optimization of mechanisms to evaluate multivariable predictive model performance. Vikash was a year round intern at Silicon Beach healthtech startup Heal in the summer of 2016, building the first pipelines for predictive analysis ready for deployment, and focusing on a number of projects in data science, artificial intelligence, and software engineering within the company.
Vikash additionally served as the student representative to the faculty committee for the UCLA Computational and Systems Biology (CASB) department, was a member of Stamps Scholars Society, Regents Scholar Society, and Alumni Scholars Club, and connects to the Silicon Beach tech ecosystem through City Fellows Consortium. He is huge basketball fanatic (Go Lakers!), and has played the trumpet for over 12 years, including a professional stint with the Disney XD Rock Orchestra, and more recently with the UCLA Symphonic Band. In the future he hopes to make an impact at the intersection of machine learning and biotechnology through research and entrepreneurship.
The summer following his freshman year, Vikash saw the potential for the application of machine learning and artificial intelligence to medicine in developing nations after some experience as a student researcher at Cedars Sinai AIM lab. Using Stamps scholarship enrichment funds, he started Project DataREACH, a service organization dedicated to bridging the gap between medicine in developing nations and techniques in data science and predictive analytics. It started with a three week trip to Guyana, where he presented to hospitals, universities, medical schools, and government officials about the potential uses of these techniques in medicine to improve health outcomes, as well as fostering connections for future implementation of predictive analytics pipelines. In the summer of 2016, a partnership was formed between Project DataREACH and Songhai Labs, leading to a partnership with the World Health Organization (WHO) office in Cameroon. This set the stage for summer 2017, where novel analytics pipelines on medical surveillance data will be presented to the WHO office, and machine learning pipelines from scratch will begin to be discussed and started using DataREACH software. These advanced analytics pipelines would be among the first to be implemented for health systems in Cameroon and moreover the region as a whole, representing a large stride in integrating cutting edge tools in data science to positively impact healthcare in the country.
For more details, visit Project DataREACH's website: http://datareach.org/