Dileep Kishore

Computational Biologist · Lawrence Berkeley National Laboratory

Dileep Kishore

I’m a computational biologist. Most of my work is in microbial ecology, and lately on data infrastructure and AI tooling for large biological datasets.

What I work on

Currently working on the Microbial Discovery Forge, an AI co-scientist.

Interests

What I’m interested in.

  • Microbial ecology

    How microbial communities are put together, and what holds them there.

  • Scientific data infrastructure

    Lakehouses and pipelines for genomic and trait data.

  • AI for science

    Agents and tooling for working with large biological datasets.

  • Machine learning on genomes

    Predicting traits from sequence.

Work

Some things I work on.

Microbial Discovery Forge

An AI co-scientist and research observatory at KBase. It connects an agent to the BER data lakehouse through a set of reusable skills. Part of the BERIL project.

What I did

I built it and am its main contributor.

  • query
  • discover
  • ingest
  • papers
  • report

agent

lakehouse

Schematic. The agent reaches the data through reusable skills.
SiteGitHubNote

Microbial trait prediction

Predicting what a bacterium can do from its genome sequence.

What I did

I lead this work.

Schematic. One classifier per carbon source, trained on gene presence plus measured growth.
GitHubNote

CommScores

Interaction scores computed from pairs of genome-scale metabolic models, and a classifier that turns them into a predicted ecological outcome.

What I did

I work on CommScores with Andrew Freiburger and Chris Henry.

  • MRO
  • MIP
  • GYD
Schematic. Three scores, all computed from the same pair of models in one medium.
DocsNote

Not a public repository.