Student Fellows

PhD Student Fellows

Vidit Mehta

Vidit Mehta is a first-year PhD student in information systems at the Robert H. Smith School of Business. His research interests include information economics, healthcare analytics, and artificial intelligence. He completed his bachelors in computer science engineering and master's in business administration from IIT Kanpur, India. His current work looks at reputation mechanisms for doctors using online word of mouth on a doctor appointment platform.

Weiguang Wang

Weiguang Wang is a second-year PhD student in information systems at the Robert H. Smith School of Business. He holds a BS and MS in management science. His research is focused on health care quality, transparency of health care, patients and physicians behavior in the healthcare context. His current research examines patients' adherence to medication in clinical trials, physicians' decisions for reporting quality data, physician online reviews.

Master's and MBA Fellows

Jihan Gao is a second-year Master of Science in Information System (MSIS) student at the Robert H. Smith School of Business. She completed her bachelor's in computer science from the University of Maryland, College Park. During her undergraduate years, she studied a specific track of data science. As a graduate assistant with CHIDS, she expects to expand her interests in data science and continue to contribute efforts in the healthcare industry.

Natasha Hurwitz

Natasha Hurwitz is a Master of Information Management (MIM) student at the College of Information Studies. She will research data analysis in telehealth at CHIDS with the goal of creating precision medicine approaches to health care. She currently works in the Office of the Director at the National Institutes of Health (NIH) as the data analysis lead on the management side of the Optimize NIH project. Her poster, Data Analysis of a Digital Health Disease Management Program, won first place (master's category) at Public Health Research at Maryland 2018. Her work with the CHIDS team explores using machine learning techniques to predict patient success in a telehealth program with the goal of matching patients to interventions that provide the maximum individual benefit and reduce health care costs.

Labdhi Seth

Labdhi Seth is a second year MBA student at Smith School of Business, focusing on consulting and general management in the life sciences. She has a BS in biotechnology and microbiology and has over 6 years of experience in the healthcare field. As a graduate assistant with CHIDS, Labdhi is looking to continue contributions to the field of healthcare.

Anurag Sharma is a first-year graduate student in information systems at the Robert H. Smith School of Business. Before joining the Smith school, he worked for over three years as a technology consultant for Tech Mahindra Ltd. in India. He is passionate about data science and keeps himself engaged with learning new technologies and tools used for data analysis. He wants to use his skills in data analytics, his experience in process improvement and database management to integrate technology with healthcare and is currently working with CHIDS to contribute to this field.

Sai Nihal Tummala

Sai Nihal Tummala is an information systems graduate student at the Smith School of Business. He is passionate about data science, and problems related to big data and machine learning intrigue him. Prior to joining the master's program, he worked for Barclays, UK, as a data analyst in the risk retail banking segment. He takes pride in being a self-starter and always pushes his peers and himself to innovate. He is adept at SAS, R, MATLAB, and other statistical and analytical tools. Currently, he is working with CHIDS and reinventing himself in the healthcare domain.

Quency Yu is a first-year student in the Master of Science in Business Analytics program at the Smith School of Business. Prior to Smith, she gained data analysis experience in social media and e-commerce. She loves to play with numbers and hopes to apply her skills to better benefit society. She actively volunteers at CHIDS and hopes to get more knowledge to advance her analytics skills.

Undergraduate Fellows

Beixuan Jia is a senior undergraduate student majoring in statistics and minoring in business analytics. Her research interests include data analytics, machine learning, computational linguistics, and public health. She is a research fellow of the Snider Undergraduate Research Experience (SURE) program, and her research project will examine the correlations between the online reviews from Yelp and doctors clinic/service skills. She hopes that her research will offer patients unbiased, comprehensive information about their doctors and improve clinical services in general.

Siddharaj VaghelaSiddharaj Vaghela is a freshman computer science student. His research interests include data science, machine learning and web development. He is a research fellow of the Snider Undergraduate Research Experience (SURE) program, and his research project will examine the correlations between the online reviews from Yelp and doctors clinic/service skills. He hopes that the research will offer patients unbiased, comprehensive information about their doctors and improve clinical services in general.

Matthew Wilhide is a second-year undergraduate student in physiology and neurobiology at the College of Mathematical and Natural Sciences. He has a strong interest in the healthcare field and is looking to expand his studies beyond the physical sciences. He will be helping to make videos for the CHIDS website and hopes to learn more about data science in the realm of healthcare.