Daniel Le Email & Phone Number
@gene.com
1 phone found area 650
LinkedIn matched
Who is Daniel Le? Overview
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Daniel Le is listed as Senior Principal Bioinformatics Scientist at Genentech, based in San Francisco Bay Area, 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 Principal Bioinformatics Scientist at Genentech and Bioinformatics Scientist at Cz Biohub. Daniel Le holds Doctor Of Philosophy (Phd), Chemistry And Chemical Biology from University Of California, San Francisco.
Email format at Genentech
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AeroLeads found 2 current-domain work email signals for Daniel Le. Compare company email patterns before reaching out.
About Daniel Le
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.
Daniel Le's current company
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Daniel Le work experience
A career timeline built from the work history available for this profile.
Principal Bioinformatics Scientist
Advancing nucleic acid sequencing technology development with bioinformatics, data science and computational biology.
Bioinformatics Scientist
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 analysis
Managing Senior Bioinformatics Scientist
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
Bioinformatics Scientist Ii
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
Bioinformatics Postdoctoral Research Scientist
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 transcription factor activity predictions.Fully connected neural network | Regularized multiple regression
Chemical Biology Postdoctoral Research Scientist
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
Colleagues at Genentech
Other employees you can reach at gene.com. View company contacts →
Nimfa Danao
Colleague at GenentechSan Diego County, California, United States
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RG
Ritchie Gouk
Colleague at GenentechOceanside, California, United States
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Chikara Takahashi
Colleague at GenentechSouth San Francisco, California, United States
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MF
Megan Flynn
Colleague at GenentechPacifica, California, United States
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MR
Michele Romesberg
Colleague at GenentechBerlin, Pennsylvania, United States
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PB
Peter Baker
Colleague at GenentechAustin, Texas, United States
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SG
Stephanie G.
Colleague at GenentechOrange County, California, United States
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Elizabeth Whitson
Colleague at GenentechPalo Alto, California, United States
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JT
Julie Travillo
Colleague at GenentechOlive Branch, Mississippi, United States
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JB
Jozef Banik
Colleague at GenentechSouth San Francisco, California, United States
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Daniel Le education
Doctor Of Philosophy (Phd), Chemistry And Chemical Biology
Bachelor Of Science (Bs), Biochemistry
Frequently asked questions about Daniel Le
Quick answers generated from the profile data available on this page.
What company does Daniel Le work for?
Daniel Le works for Genentech.
What is Daniel Le's role at Genentech?
Daniel Le is listed as Senior Principal Bioinformatics Scientist at Genentech.
What is Daniel Le's email address?
AeroLeads has found 2 work email signals at @gene.com for Daniel Le at Genentech.
What is Daniel Le's phone number?
AeroLeads has found 1 phone signal(s) with area code 650 for Daniel Le at Genentech.
Where is Daniel Le based?
Daniel Le is based in San Francisco Bay Area, United States while working with Genentech.
What companies has Daniel Le worked for?
Daniel Le has worked for Genentech, Cz Biohub, Dovetail Genomics, Llc, Stanford University, and University Of Cambridge.
Who are Daniel Le's colleagues at Genentech?
Daniel Le's colleagues at Genentech include Nimfa Danao, Ritchie Gouk, Chikara Takahashi, Megan Flynn, and Michele Romesberg.
How can I contact Daniel Le?
You can use AeroLeads to view verified contact signals for Daniel Le at Genentech, including work email, phone, and LinkedIn data when available.
What schools did Daniel Le attend?
Daniel Le holds Doctor Of Philosophy (Phd), Chemistry And Chemical Biology from University Of California, San Francisco.
What skills is Daniel Le known for?
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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