Hal Tily Email & Phone Number
@stanford.edu
2 phones found area 617
LinkedIn matched
Who is Hal Tily? Overview
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Hal Tily is listed as VP Research (nonprofit volunteer work) at LGMD2L Foundation, based in New York, New York, United States. AeroLeads shows a work email signal at stanford.edu, phone signal with area code 617, and a matched LinkedIn profile for Hal Tily.
Hal Tily previously worked as Advisor at Fi and Head of Data Science at Oura. Hal Tily holds Phd, Linguistics from Stanford University.
Email format at LGMD2L Foundation
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AeroLeads found 1 current-domain work email signal for Hal Tily. Compare company email patterns before reaching out.
About Hal Tily
I'm a data science and machine learning leader with experience in recommender systems, natural language processing, and analysis of scientific and biological data. I get excited about solving the hard problems that open up our understanding the world, and I'm passionate about bringing out the value of data in all areas of business.
Listed skills include Statistical Data Analysis, Data Visualization, Natural Language Processing, Machine Learning, and 29 others.
Hal Tily's current company
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Hal Tily work experience
A career timeline built from the work history available for this profile.
Advisor
CurrentAdvising on data strategy including platform decisions, hiring, etc. Helping build ML-driven product features to bring you closer to your best friend.
Head Of Data Science
As the first Head of Data Science at Oura, I hired the data science team and kept them engaged and productive with almost perfect retention over my tenure. Our team developed and maintained machine learning algorithms driving health and wellness features that power a million rings worldwide, like sleep staging, activity detection and exercise heart rate.
Vice President, Data Science & Machine Learning
I led machine learning, data science, and probabilistic AI at Viome, a startup making waves in the field of individualized wellness and healthcare thanks to the unique microbiome data provided by our RNA sequencing & analysis technology. My team and I worked on modeling our customers' biological data and health outcomes. We turned that data into scientific.
Senior Research Scientist, Discovery Algorithms
Applied data science and machine learning research, with a focus on recommender systems and search. Among other things, I developed algorithms for movie recommendation; to improve user profiling; to guide the production and acquisition of new content; and to track and summarize social media buzz.
Senior Data Scientist
NLP and machine learning engineering for speech synthesis, including development of intelligent agent voices for high-profile clients like Apple.
Postdoctoral Research Associate
Hal Tily education
Phd, Linguistics
Postdoc, Brain & Cognitive Science
Bsc, Artificial Intelligence And Psychology
Frequently asked questions about Hal Tily
Quick answers generated from the profile data available on this page.
What company does Hal Tily work for?
Hal Tily works for LGMD2L Foundation.
What is Hal Tily's role at LGMD2L Foundation?
Hal Tily is listed as VP Research (nonprofit volunteer work) at LGMD2L Foundation.
What is Hal Tily's email address?
AeroLeads has found 1 work email signal at @stanford.edu for Hal Tily at LGMD2L Foundation.
What is Hal Tily's phone number?
AeroLeads has found 2 phone signal(s) with area code 617 for Hal Tily at LGMD2L Foundation.
Where is Hal Tily based?
Hal Tily is based in New York, New York, United States while working with LGMD2L Foundation.
What companies has Hal Tily worked for?
Hal Tily has worked for Lgmd2L Foundation, Fi, Oura, Viome, and Netflix.
How can I contact Hal Tily?
You can use AeroLeads to view verified contact signals for Hal Tily at LGMD2L Foundation, including work email, phone, and LinkedIn data when available.
What schools did Hal Tily attend?
Hal Tily holds Phd, Linguistics from Stanford University.
What skills is Hal Tily known for?
Hal Tily is listed with skills including Statistical Data Analysis, Data Visualization, Natural Language Processing, Machine Learning, Python, Java, Html, and Amazon Web Services.
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