Dr. Raghvendra Mall
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Cancer Immunotherapy and Biomarkers · Advanced Clustering Algorithms Research · Bioinformatics and Genomic Networks
0000-0003-1779-3150
About
Life is all about learning and research. Dr. Mall is an experienced machine learning researcher (15+ years) with expertise in data sciences, complex networks, systems biology and structural biology -- working on multi-omics data integration to understand disease vagaries, identify therapeutic targets, and gain novel biological insights using data-driven techniques.
Dr. Mall has designed, developed and deployed bioinformatics methods to leverage the power of big biomedical data to extract meaningful biology. He is a seasoned researcher (IEEE Senior Member and ISMB member) with a distinguished publication record of 100+ peer-reviewed articles in top journals including Nature, Cancer Discovery, Nature Methods, Nucleic Acids Research, Science Immunology, Briefings in Bioinformatics, Bioinformatics and an extensive background in machine learning and computational biology.
Dr. Mall specializes in scientific project management, team leadership, and cross-cultural collaboration, with experience managing and participating in international research projects (winning DREAM Challenges) and developing collaborations with scientists from numerous institutions across three different continents. His ultimate goal in life is to see research getting translated into clinic and help save lives of patients.
• Proficient in deep learning (DL), convolutional neural network (CNN), long short-term memory (LSTM), graph neural networks (GNN), Pytorch, Keras.
• Proficient in Systems Biology: Regulatory genomics, differential expression & network analysis, disease module identification, NGS data analysis such as RNA-Seq and single-cell transcriptomics, Salmon, Kallisto, DESeq2, Limma, Seurat, Snakemake
• Passionate about Translational Medicine: Drug repurposing for COVID-19, drug sensitivity for acute myleoid leukemia (CTD2: BeatAML DREAM Challenge) and one of the winners ofAnti-PD1 Dream Challenge(Team I-Miracle), UniProt, ChEMBL, PubChem, TCGA, NCBI, CCLE, GDSC, CTPR
• Hands-on experiences of network analysis, Pagerank, community detection, Pytorch-geometric, Cytoscape, Gephi, ggraph
• Programming languages: Python, R, C++
Dr. Mall is open to being an advisor in early/late stage startups working at the intersection of AI + biological sciences (in cancer and infectious diseases).
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
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Publications (136)
- From prediction to creation: How AI-driven design is reshaping microbial biocatalysis Save
- PREDICT-AML: personalized response via drug interaction with cellular traits for acute myeloid leukemia Save
- The abscopal effect and systemic immune reprogramming: from phenomenon to therapeutic design Save
- pH-triggered gold-PNA nanoclusters reverse miR-155-driven metabolic radioresistance in breast cancer Save
- Learning to Generalize: Deep Models and Robust Benchmarks for Drug–Target Affinity Prediction Save
- Efficient Adaptation of Chemical Language Models for Molecular Property Prediction Save
- CLIP-AML: Contrastive Learning Framework for AML treatment response prediction Save
- Microbial dysbiosis and inferred functional profiling reveals the potential role of Methylobacterium in prostate cancer Save
- Pharmacological targeting of the NLRP3 LRR domain with isothiazolinones overcomes CRID3-resistant inflammation Save
- Innate immune sensing of dietary alcohol ignites inflammation to drive alcohol-related disease Save
- B-cell epitope prediction in the age of machine learning: advancements and challenges Save
- Learning to Generalize: Deep Models and Robust Benchmarks for Drug–Target Affinity Prediction Save
- PRESTIGE-ST: Patch Resolution and Encoder STrategies for Inference of Gene Expression from Spatial Transcriptomics Save
- EffiChem : Efficient Adaptation of Chemical Language Models for Molecular Property Prediction Save
- Evolutionary and Functional Analysis of Caspase-8 and ASC Interactions to Drive Lytic Cell Death, PANoptosis Save
- Repurposing drugs for monkeypox using artificial intelligence Save
- Strategies for Redesigning Withdrawn Drugs to Enhance Therapeutic Efficacy and Safety: A Review Save
- A potent NLRP3 inhibitor effective against both MCC950-sensitive and -resistant inflammation Save
- Benchmarking protein language models for protein crystallization Save
- CASPER: CROSS-MODAL ALIGNMENT OF SPATIAL AND SINGLE-CELL PROFILES FOR EXPRESSION RECOVERY Save