Our Mission
Our goal is to build intelligent tools that have a tangible impact on real-world clinical challenges. We focus on exploring innovative ideas and developing Interpretable, Resource-Efficient, and Multi-modal/domain Machine Learning models to solve complex problems in Diagnostics, Bioinformatics, and Medical Imaging. We also aim to facilitate interdisciplinary collaboration to conduct meaningful research leveraging ML.
Core Research Areas
Bioinformatics & Genomics
Developing advanced methods for modern challenges in the field of bioinformatics and genomics, such as Antimicrobial Resistance (AMR) prediction or Spatial Transcriptomics research.
Biomedical Imaging & Signals
Designing novel deep learning frameworks for medical image analysis and physiological signal-based diagnostics.
Explainable AI for Healthcare
Building interpretable models whose decisions can be understood and trusted by clinicians/biologists. We aim to validate our models using XAI techniques and uncover underlying biological signals.
Latest News
Paper Accepted at SCA/HPCAsia 2026
Our paper on Antimicrobial Resistance Prediction from Genomic data (SNPs) has been accepted at SCA/HPCAsia 2026, Osaka, Japan.
October 2025New Preprint on Biomedical Audio Analysis Released
Our paper on dual-domain fusion for biomedical audio analysis, AudioFuse, is now available on arXiv.
September 2025BIOML Lab Founded
We officially formed our research collaborative to focus on open research in AI for biomedical and life sciences in Bangladesh.
March 2025Collaborate With Us
We are always looking for passionate students, researchers, and collaborators. If our work interests you, please get in touch. You can find us on GitHub or send a direct email.