Siyang Li Email & Phone Number
@nursefly.com
4 phones found area 650, 703, and 855
LinkedIn matched
Who is Siyang Li? Overview
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Siyang Li is listed as Staff data scientist at Google, a company with 315106 employees, based in San Francisco, California, United States. AeroLeads shows a work email signal at nursefly.com, phone signal with area code 650, 703, 855, and a matched LinkedIn profile for Siyang Li.
Siyang Li previously worked as Machine learning and data science at Google and AI advisory board member at Bain Capital Ventures. Siyang Li holds Master Of Science (Msc), Molecular Genetics And Computational Biology from University Of Toronto.
Email format at Google
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AeroLeads found 1 current-domain work email signal for Siyang Li. Compare company email patterns before reaching out.
About Siyang Li
I don't frequent here much, reach out via other means if you want a timely response
Listed skills include Data Mining, Data Analysis, Modeling, Machine Learning, and 19 others.
Siyang Li's current company
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Siyang Li work experience
A career timeline built from the work history available for this profile.
Machine Learning And Data Science
Ai Advisory Board Member
Current
Volunteer
Current
Data Scientist
Senior Data Scientist
- Led a team of data scientists to develop an internal web application that manages data warehouse space through customized algorithm for data compression - Developed a new monitoring tool for the Canadian acquisition model on variable-levelmonitoring and model scoring accuracy - Performed exploratory analysis at the acquisition stage which led to a.
Data Scientist
- Developed models for optimizing calling strategy with machine learning algorithms - Successfully developed an internal web application for agents to contact customers in collections (quarterly award for innovation) - Developed and implemented a business strategy that increased customer satisfaction through monitoring reports (quarterly award for customer.
Graduate Student
- Developed quantitative models with advanced statistics and machine learning using R and Perl to study cancer therapeutic targets- Familiar with machine learning methods and theories (graduate courses in “Statistical Modelling and Machine Learning” and “Programming with Perl”)- Successfully developed computational pipelines to analyze terabyes of.
Teaching Assistant For "Whole Genome Sequencing And Analysis" Course
- Established the first undergraduate course in North America that integrates data generation and analysis of whole-genome sequencing, as part of a 4-person team- Developed 2 computational pipelines for data analysis with Perl, Unix and R- Co-authored all course materials (lab manuals, exams, and assignments)
Clinical Research Student
Siyang Li education
Master Of Science (Msc), Molecular Genetics And Computational Biology
Honours Bachelor Of Science (B.Sc.), Pharmacology
Frequently asked questions about Siyang Li
Quick answers generated from the profile data available on this page.
What company does Siyang Li work for?
Siyang Li works for Google.
What is Siyang Li's role at Google?
Siyang Li is listed as Staff data scientist at Google.
What is Siyang Li's email address?
AeroLeads has found 1 work email signal at @nursefly.com for Siyang Li at Google.
What is Siyang Li's phone number?
AeroLeads has found 4 phone signal(s) with area code 650, 703, 855 for Siyang Li at Google.
Where is Siyang Li based?
Siyang Li is based in San Francisco, California, United States while working with Google.
What companies has Siyang Li worked for?
Siyang Li has worked for Google, Bain Capital Ventures, Vivian Health, Compassionate Pet Sanctuary, Inc., and Linkedin.
How can I contact Siyang Li?
You can use AeroLeads to view verified contact signals for Siyang Li at Google, including work email, phone, and LinkedIn data when available.
What schools did Siyang Li attend?
Siyang Li holds Master Of Science (Msc), Molecular Genetics And Computational Biology from University Of Toronto.
What skills is Siyang Li known for?
Siyang Li is listed with skills including Data Mining, Data Analysis, Modeling, Machine Learning, Statistics, Statistical Modeling, Python, and Web2Py.
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