Welcome to Kabir’s AI to BIO Lab (A2B)

We advance Artificial intelligence (AI) and Computational Biology research by designing and developing robust, explainable and accessible Machine Learning (ML) algorithms for solving complex Molecular Biology problems.

Mission

We seek the truth and knowledge of what is encoded in the language of life through computational modeling and data-driven discovery.

Vision

Our vision is to build a world where AI-driven molecular insights will enable a deep understanding of biology, accurate disease prediction, rapid personalized drug design for effective and timely treatments for each patient.

Goals

We relentlessly aim to achieve the following goals:

  1. Discover fundamental biological truths
  2. Advance AI algorithms to model molecules and their interactions
  3. Accelerate precision medicine
  4. Bridge Computer Science and Molecular Biology to reveal new insights
  5. Ensure computational advances translate into clinical settings

Future

The fusion of computer science and molecular biology has opened new avenues for decoding the complex language of life. AI is now driving rapid advancements in the study of biological systems. Algorithms can analyze vast omics data, detect patterns, and simulate molecular interactions that once required decades of laboratory work. We believe future AI-driven insights will advance our understanding of fundamental biological mechanisms and pave the way for novel treatments.

Anowarul Kabir, Ph.D.

Assistant Professor, University of South Florida, USA
Ph.D. in Computer Science, George Mason University
B.Sc. in Software Engineering, University of Dhaka
Email: akabir@usf.edu