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Dr. Raghvendra Mall
Computational Biology Leader & Machine Learning Expert
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Recent Role
Principal Scientist to Director
Technology Innovation Institute, Abu Dhabi (2023-25). Built computational biology group from ground up, managing 10+ scientists and AED 2.5M annual funding.
Career Journey
1
2023-25: Director
Technology Innovation Institute - Leading computational biology initiatives and CAR-T cell therapy research.
2
2021-23: Senior Scientist
St. Jude Children's Hospital - Focused on innate immunology and cell death mechanisms.
3
2018-21: Research Scientist
Qatar Computing Research Institute - Drug sensitivity and precision medicine research.
4
2016-18: Postdoc
Qatar Computing Research Institute - Network biology and gene regulation.
Breakthrough Research
AI-Powered Protein Design
Developed VISH-Pred, PAMPHLATE, and MATE-Pred using fine-tuned protein language models. Each tool outperforms state-of-the-art by over 10% on key metrics like MCC and F1-score.
  • Peptide toxicity prediction
  • Peptide-HLA interactions
  • TCR-epitope interaction prediction
Major Publications Impact
4950+
Citations
Google Scholar citations demonstrating research impact
10+
CNS Publications
High-impact journals including CNS family of journals
4
Patents
US patents for protein binding prediction and drug discovery
Cancer Research Breakthrough
Multi-Omics Integration
Designed mICRoScore combining microbiome and immune signatures for colorectal cancer patient stratification, published in Nature Medicine.
CAR-T Cell Therapy
Established collaboration with Caltech and Burjeel Cancer Institute for novel immunotherapy approaches.
Technical Expertise
Programming
Advanced proficiency in Python, R, with experience in PyTorch, Keras, TensorFlow, and Huggingface for deep learning applications.
Cloud Platforms
Extensive experience with AWS and Google Cloud Platform for scalable computational biology workflows.
Bioinformatics
Expert in network biology, gene regulation, multi-omics integration, and machine learning for biological data.
Academic Excellence
Summa Cum Laude Doctorate
European Research Council funded PhD with highest honors
Dream Challenge Winner
Anti-PD1 Dream Challenge and top performer in CTD2-BeatAML Challenge
Senior IEEE Member
Recognition for contributions to computational biology and machine learning
Global Research Impact
Drug Discovery
Identified FDA-approved drugs like Ritonavir for SARS-CoV-2 treatment through machine learning frameworks.
Precision Medicine
Developed personalized treatment prediction models for cancer therapy based on genomic and clinical data.
Immunology
Advanced understanding of innate immunity and cell death mechanisms in pathogen response.
Connect & Collaborate
Ready to advance computational biology and precision medicine through innovative research partnerships.
Research Collaboration
Open to partnerships in AI-driven drug discovery, cancer immunotherapy, and multi-omics research.
Speaking Engagements
Available for conferences on computational biology, machine learning in healthcare, and precision medicine.
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