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University of California Los Angeles
Data Scientist
June 19, 2026 – Present
ec
March 22, 2017 – December 26, 2017
This project includes simulated and 'golden standard' datasets, software and scripts that we used to benchmark error correction tools
View ProjectDropSeq_pipeline
January 26, 2017 – January 26, 2017
DropSeq_pipeline — GitHub repository
View Projectrop
November 1, 2015 – April 17, 2024
The Read Origin Protocol (ROP) is a computational protocol that aims to discover the source of all reads, including those originating from repeat sequences, recombinant B and T cell receptors, and microbial communities.
View ProjectHapIso
October 26, 2015 – July 24, 2017
HapIso reconstructs the haploid transcriptome of a diploid organism from long single molecule reads
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in bioinformatics and computational biology, indicating a strong interest and specialization in this niche. While this demonstrates depth, the lack of diversity in project domains (e.g., business analytics, machine learning engineering, general data science applications) might suggest a narrower scope of experience for a general Data Scientist role. The single listed professional experience as 'Data Scientist' at UCLA is current, but no details are provided regarding its duration or specific responsibilities, making it difficult to assess alignment with a broader industry role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.