In the computational biology department, we seamlessly integrate computer science and mathematics foundations in the field of biology to ask data and hypothesis-driven frontier questions in domains such as Genomics, Structural biology, Healthcare and Medicine.
Highly competitive individuals who are trained in the latest Computer Science curriculum as well as proficient in applying technologies into the field of Biology
We are not limited to the world-class syllabus that is prescribed by the Institute. Many of us have been continuously outperforming other graduate students in places like the prestigious GSOC and Microsoft Codess Programs.
Our competitive nature and the drive to reach the top always keeps us on top of our toes. This makes sure that we have an in-depth knowledge of the latest tools and technologies to design and implement efficient software solutions using suitable Algorithms, Data-Structures and other computing techniques
We also undertake a specialization in the multi-disciplinary domains of CB
With the advent of high-throughput techniques, biological sciences grapple with a paradigm shift towards data-intensive explorations and challenges for management and analysis of massive data. Making progress on these frontiers requires insight into biological processes, algorithms, machine learning techniques, mathematical modeling, apart from numerical and programming skills.
Thus, interdisciplinary education that imparts knowledge of foundations of biology & computer science and training in modeling & analysis of biomedical data is the key to creating personnel who can provide solutions to problems on the interface of computation and biology.
A few projects highlighting the diversity of our expertise
- Data Science
- Machine Learning
- Deep Learning