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ES Bioinformatics & AI Lab

Computer Science and Engineering & Halicioglu Data Science Institute, UC San Diego

We develop and apply computational methods to address critical challenges in food security, species conservation, and climate resilience.

Our research combines machine learning, computer vision, and genomics to understand how organisms adapt to changing environments and to develop tools that enable sustainable agriculture.


Research Focus

AI for Aquaculture

Computer vision and genomic approaches for fish farming, including AI-assisted sex determination in sturgeon to improve sustainability and reduce costs.

Crop Genomics

Understanding the genetic basis of adaptation in economically important crops including maize, avocado, and grapevine to inform breeding programs.

RNA Biology

Discovering regulatory mechanisms controlling gene expression in plants, with implications for crop improvement and stress tolerance.

Antimicrobial Resistance

Deep learning approaches to predict and forecast antimicrobial resistance patterns from genomic data.


Funding

Our research is supported by:

  • USDA NIFA Western Regional Aquaculture Center
  • NSF ACCESS Computing Allocations

Join Us

We are recruiting graduate students, undergraduates, and postdocs interested in computational biology, machine learning, and agricultural genomics.

Learn more about opportunities


Contact

Email: esolares [at] ucsd [dot] edu

Location: CSE Building, UC San Diego, La Jolla, CA 92093

news

Apr 23, 2025 Our Sturgeon AI research featured in SDSC, ACCESS-CI, and SeafoodSource - “New AI Technology Aims to Revolutionize Fish Farming”
Oct 20, 2024 Joined Informuta, Inc. as Machine Learning Engineer, applying AI solutions to industry challenges alongside academic research.
Jun 15, 2024 Awarded ~$465,000 grant from USDA NIFA Western Regional Aquaculture Center as PI to develop AI technology for sturgeon aquaculture.
Feb 23, 2024 Maize RNA structures research featured in SDSC press release - “Supercomputing Simulations in Multiyear Study of Corn to Address Food Insecurity”
Jan 15, 2024 Expanded teaching role at Halicioglu Data Science Institute (HDSI) at UC San Diego, teaching graduate-level big data analytics and machine learning courses.

selected publications

  1. Genome Res.
    miRNA-like secondary structures in maize (Zea mays) genes and transposable elements correlate with small RNAs, methylation, and expression
    Galen T. Martin, Edwin A. Solares, Jeanelle Guardado-Mendez, and 3 more authors
    Genome Research, 2023
  2. PNAS
    Sex-linked gene traffic underlies the acquisition and loss of sexually dimorphic UV color vision in Heliconius butterflies
    Mahul Chakraborty, A. Guadalupe Lara, A. Dang, and 9 more authors
    Proceedings of the National Academy of Sciences, 2023
  3. G3
    Insights into the domestication of avocado and potential genetic contributors to heterodichogamy
    Edwin A. Solares, Abraham Morales-Cruz, Rosa Figueroa Balderas, and 6 more authors
    G3: Genes, Genomes, Genetics, 2023
  4. BMC Bioinf.
    HapSolo: An optimization approach for removing secondary haplotigs during diploid genome assembly
    Edwin A. Solares, Y. Tao, A. D. Long, and 1 more author
    BMC Bioinformatics, 2021
  5. Nat. Plants
    The population genetics of structural variants in grapevine domestication
    Yongfeng Zhou, Andrea Minio, Mélanie Massonnet, and 5 more authors
    Nature Plants, 2019
  6. G3
    Rapid Low-Cost Assembly of the Drosophila melanogaster Reference Genome Using Low-Coverage, Long-Read Sequencing
    Edwin A. Solares, Mahul Chakraborty, Danny E. Miller, and 5 more authors
    G3: Genes, Genomes, Genetics, 2018