Vislesy Consulting

Vislesy is a Deep Tech Consulting firm super-charging companies with adoption and modernization of their data-driven processes, computational strategies and data infrastructure

We have years of industry experience in data sciences, in lab-in-a-loop settings, and bringing cost and time efficiency firmly grounded in the data generation process, especially for tech-bio/biotech, multi-omics & nucleic acid medicine companies

Swagatam Mukhopadhyay (Swɑːg), PhD

General Partner

Google Scholar LINK

Theoretical physicist and applied mathematician with extensive expertise in Machine Learning / AI, Convex Optimization, Compressive Sensing, Numerical Methods, Design of Experiments, Drug Discovery, Molecular & Cell Biology, RNA Biology, Nucleic Acid Medicines (ASOs, SSOs, siRNAs, gene editing) and Genomics.

Tech-bio-pharma entrepreneur with a strong track record of building and nurturing innovative technical teams in both wet and dry lab.

Excel at building parsimonious computational, physical, statistical, ML/AI models of complex systems rooted in the data generation process and in lab-in-a-loop settings.

Seasoned communicator of interdisciplinary science—polymath with two decades of experience in leading quantitative thinking in both academic and industry setting.

Strong experience in working with small and large biotechs on Business Strategies and building high-performance team as a consultant.

On the technical side of modern AI: Diffusion Models, Latent Space Methods, Attention mechanism, Transformers & Protein- RNA- Foundation Models.

Career Highlights

  • PhD in Theoretical Condensed Matter Physics at University of Illinois at Urbana-Champaign — 2000-2005
  • mini-MBA — Executive Program for Senior Life Sciences Leaders at Harvard Medical School — 2024-2025
  • Post-doc in Glassy Physics and Disordered Media, University of California at Santa Barbara —2005-2007
  • Post-doc at Rutgers University at the intersection of experiments and theory in Systems Biology, Long-Range Gene Regulation and Epigenetic Silencing — 2007-2010
  • Computational Scientist at Cold Spring Harbor Labs spanning RNAi, Mouse Brain Architecture Project and Autism Genomics (Simons Simplex Collection) — 2010-2015
  • Build and led the creation of the first ML models to predict pharmacology (efficacy, tolerability, IC50) of ASOs from in vitro and in vivo (rodent) screening data at Ionis Pharmaceuticals
  • Cofounded and lead (as Chief Scientific & Innovation Officer, Board Member) Creyon Bio — a nucleic acid engineering company

Other partners

The team is composed of four industry experts with a broad range of industry & academic experience in Machine Learning & AI, Software & Data Infrastructure, Scientific Computing, HPC, Signal Processing, Numerical Optimization, Data Engineering & Analysis.