Summary
Praveen Anand is a data and analytics leader in translational sciences with 11 years of experience marrying computational biology, multi-omics analysis, and AI to accelerate drug discovery and clinical insight. He has driven interdisciplinary teams at industry and research powerhouses—AstraZeneca, nference, Broad/Dana-Farber—transforming single-cell, transcriptomic, proteomic and EHR datasets into actionable hypotheses and publications in top journals. His work spans the full AI/ML lifecycle, from designing omics experiments and building reproducible computational workflows to deploying models trained on millions of clinical records to interrogate disease progression and treatment response. Notably, his postdoctoral research uncovered resistance mechanisms in hematologic malignancies, while his industry leadership has steered platform efforts that enabled rapid pandemic-era insights from EHR collaborations. Based in Cambridge, UK, he combines deep domain expertise in biology with pragmatic data science leadership, securing grant funding and publishing extensively across genetics, structural biology and clinical informatics. Colleagues rely on him to bridge wet-lab and computational teams and translate complex molecular data into translational impact.
11 years of coding experience
12 years of employment as a software developer
Integrated PhD Biological Sciences Bioinformatics Computational Biology Biochemistry, Integrated PhD Biological Sciences Bioinformatics Computational Biology Biochemistry at Indian Institute of Science (IISc)
Bachelor's Degree Biochemistry Genetics & Biotechnology, Bachelor's Degree Biochemistry Genetics & Biotechnology at Sri Bhagawan Mahaveer Jain College
Kannada, Marathi, Hindi, English, Tamil