Summary
Lucas Da Silva is an Associate Postdoc Researcher and bioinformatician based in Boston with 11 years of experience applying generative and deep learning models to single-cell, epigenetics, and large-scale CRISPR assays. At Harvard, he explores diffusion models, CLIP, VAEs, GANs, transformers, and CNNs to decode regulatory interactions and hierarchical dependencies in genomic data. He combines a PhD in Bioinformatics from Universidade de São Paulo with hands-on postdoctoral work to design regulatory switches like promoters and enhancers using generative design approaches. Lucas favors a learning-by-creating ethos, extracting interpretable signals across disparate models and experimental modalities to explain complex biology. He has a track record of translating cutting-edge ML architectures into experimentally relevant hypotheses for Perturb-Seq and related single-cell technologies.
11 years of coding experience
3 years of employment as a software developer
University of São Paulo