Sriram Sankararaman
Professor
Develops statistical machine learning for population and medical genomics, including inference of archaic introgression in human genomes.
Sriram Sankararaman's lab at UCLA works on genomics & computational biology, medical imaging & healthcare AI and learning theory & optimization. 11 papers since 2023, 1 at top venues, mostly Nature Communications and NPJ Digital Medicine. 9 PhD students. 9 alumni, most often to Google. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 9%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 9
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 3 papers2024 · T1 0
- 8 papers2023 · T1 1
T1 venuesOtherVenues: Nature Communications, NPJ Digital Medicine
Research focuspaper titles that use each topic's words
- Learning theory & optimization2 papers
- population2 papers
- Genomics & computational biology0 papers
- Medical imaging & healthcare AI0 papers
- genomes0 papers
Paper list
From the lab homepage.
20243 papers
- RECOMBA Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits
- NPJ Digital MedicinePersonalized Mood Prediction from Patterns of Behavior Collected with Smartphones (opens in a new tab)
- RECOMBSUM-RHE: Scalable summary statistics-based heritability estimation method with individual genotype level accuracy
20238 papers
- et alCausal effects on complex traits are similar across segments of different continental ancestries within admixed individuals (opens in a new tab)
- Nature GeneticsDeep Learning-based Phenotype Imputation on Population-scale Biobank Data Increases Genetic Discoveries (opens in a new tab)
- Nature Communications (T1)Fast kernel-based association testing of non-linear genetic effects for biobank-scale data (opens in a new tab)
- Genome ResearchLeveraging family data to design Mendelian Randomization that is provably robust to population stratification (opens in a new tab)
- Molecular Biology and EvolutionMaLAdapt reveals novel targets of adaptive introgression from Neanderthals and Denisovans in worldwide human populations (opens in a new tab)
- Nature GeneticsPhenotype integration improves power and preserves specificity in biobank-based genetic studies of Major Depressive Disorder (opens in a new tab)
- RECOMBPhenotypic subtyping via contrastive learning (opens in a new tab)
- eLifeThe lingering effects of Neanderthal introgression on human complex traits (opens in a new tab)
Where alumni went9 listed, 20% to industry
Industry 1Academia 4
Most often to
Also to
- Harvard University
- USC
- Viewpoint School
Apply to UCLAFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- optional
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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- Papers
- The lab homepage
- Members
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