UT Dallas professor Dr. Mathukumalli Vidyasagar was recently chosen to be part of the first exclusive group of scientists that will work in Indian laboratories during an intensive, 12-month fellowship.
Vidyasagar is highly respected for his contributions in robotics, statistical learning theory, and computational biology research. His current research at UT Dallas is focused on using statistical learning theory and computational biology to achieve personalized therapy in cancer, and his work is being developed along with other scientists from UT Southwestern.
Vidyasagar’s team has developed algorithms that can be applied to the diagnosis and treatment of lung, ovarian, and endometrial cancer — three cancer types that UT Dallas researchers have previously studied. The algorithms discovered by Vidyasagar’s team of scientists will allow them to identify patients’ response to a therapy.
Vidyasagar, who is also a Fellow of the Royal Society, another essential prerequisite to be elected to the fellowship, has been fully dedicated to cancer therapy research since last July when he left as head of the bioengineering department of the University of Texas.
Responding to being chosen by the Indian government for this Fellowship, Vidyasagar noted that he was “honored to be in the first group” and considered this choice a great responsibility, considering that “the government of India set the bar really high.”
Vidyasagar has chosen the Indian Institute of Technology in Hyderabad as a base of operations in order to continue research on cancer therapy, an area, according to him, with the potential “to make quite fundamental contributions to the life sciences,” adding that the Indian Institutes are the best places to “make these types of contributions.”
The group of scientists chosen to this fellowship will work in Indian laboratories for a total of 12 months, which will be spread out over three years.