Headshot portrait of Laksshman Sundaram - Bio-X Bowes Fellow
Bio-X Graduate Student Fellow

Awarded in 2019
Home Department: Computer Science
Faculty Advisors: Anshul Kundaje (Genetics and Computer Science), William Greenleaf (Genetics), and Michael Bassik (Genetics)

Research Title: Predicting Deleterious Non-Coding Rare and De-novo Sequence Variants in Neurological Disorders and Congenital Heart Disorders

Research Description: The genome-sequencing revolution is generating large catalogs of genetic variation from diverse populations. However, predicting the phenotypic effects and clinical Photo of graduate student Lawrence Bai in a dry lab, working on a computer showing colorful graphs and DNA data.relevance of variants remains a challenge. Laksshman proposes to use integrative approaches to leverage comprehensive functional genomics data, large-scale genome perturbation experiments, and interpretable deep neural networks to predict the pathogenicity of rare non-coding variants and de novo mutations in autism and rare neurodevelopmental disorders. Predicted causal variants will be validated experimentally in neuronal progenitors using CRISPR.


Laksshman works at Illumina Inc as a Manager Deep Learning research.