Principal Bioinformatics Scientist
CurrentAdvancing nucleic acid sequencing technology development with bioinformatics, data science and computational biology.
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@gene.com
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1 phone found area 650
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Daniel Le is listed as Principal Bioinformatics Scientist at Genentech, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at gene.com, phone signal with area code 650, and a matched LinkedIn profile for Daniel Le.
Daniel Le previously worked as Bioinformatics Scientist at Cz Biohub and Managing Senior Bioinformatics Scientist at Dovetail Genomics, Llc. Daniel Le holds Doctor Of Philosophy (Phd), Chemistry And Chemical Biology from University Of California, San Francisco.
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AeroLeads found 2 current-domain work email signals for Daniel Le. Compare company email patterns before reaching out.
I work toward interpretable, rigorous analyses using statistics and machine learning. I have expertise in R and Python programming. My statistical learning toolkit ranges from regression analysis to convolutional neural networks. In addition, project ownership, mentoring and collaboration are fundamental to my process.
Listed skills include Biochemistry, Molecular Biology, Cell Culture, Western Blotting, and 18 others.
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South San Francisco, California, US
Advancing nucleic acid sequencing technology development with bioinformatics, data science and computational biology.
San Francisco, California, US
I developed models and visualizations to extract insights from single cell transcriptome data of primary human skin cells. We are interested in the heterogeneity of such cells during early development and chronological aging, which may provide new insights into the pathology of skin malignancies. Dimensionality reduction | Unsupervised learning | Feature.
Scotts Valley, California, US
I led a R&D bioinformatics team developing novel analytical tools and pipelines for NGS applications focused on genome architecture and structural variants. Computer vision | Matrix decomposition
Scotts Valley, California, US
I developed machine learning models to detect and characterize structural features of the human genome implicated in disease. Specifically, I was involved in launching a commercial variant detection software using a neural network machine learning model.Interactive data visualization | Convolutional neural network
Stanford, CA, US
I investigated how transcription factors find their target binding sites, which ultimately determines gene expression. Toward this aim, I developed a high-throughput microfluidic platform for multiplexed determination of DNA binding preferences. Results from this assay were used to train a neural network machine learning model intended to improve in vivo.
Cambridge, England, GB
Because G-quadruplex structures are important in transcriptional and translational regulation, I developed a high-throughput small molecule screening platform for G-quadruplex DNA/RNA drug discovery, with improved structural resolution.Biophysical modeling | High-throughput assay development
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Daniel Le works for Genentech.
Daniel Le is listed as Principal Bioinformatics Scientist at Genentech.
AeroLeads has found 2 work email signals at @gene.com for Daniel Le at Genentech.
AeroLeads has found 1 phone signal(s) with area code 650 for Daniel Le at Genentech.
Daniel Le is based in San Francisco Bay Area, United States, United States while working with Genentech.
Daniel Le has worked for Genentech, Cz Biohub, Dovetail Genomics, Llc, Stanford University, and University Of Cambridge.
You can use AeroLeads to view verified contact signals for Daniel Le at Genentech, including work email, phone, and LinkedIn data when available.
Daniel Le holds Doctor Of Philosophy (Phd), Chemistry And Chemical Biology from University Of California, San Francisco.
Daniel Le is listed with skills including Biochemistry, Molecular Biology, Cell Culture, Western Blotting, Pcr, Drug Discovery, Protein Purification, and Cell Biology.
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