Andrew Maas Email & Phone Number
@stanford.edu
2 phones found area 443 and 650
LinkedIn matched
Who is Andrew Maas? Overview
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Andrew Maas is listed as VP of AI Engineering at micro1, a with 1265 employees, based in Mountain View, California, United States. AeroLeads shows a work email signal at stanford.edu, phone signal with area code 443, 650, and a matched LinkedIn profile for Andrew Maas.
Andrew Maas previously worked as Co-Founder & CEO at Pointable and Instructor: Applied Machine Learning at Uplimit (Formerly Corise). Andrew Maas holds Doctor Of Philosophy (Ph.D.), Computer Science from Stanford University.
Email format at micro1
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AeroLeads found 1 current-domain work email signal for Andrew Maas. Compare company email patterns before reaching out.
About Andrew Maas
Andrew Maas is a VP of AI Engineering at micro1. He possess expertise in machine learning, artificial intelligence, computer science, python, neural networks and 8 more skills.
Listed skills include Machine Learning, Artificial Intelligence, Computer Science, Python, and 9 others.
Andrew Maas's current company
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Andrew Maas work experience
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Co-Founder & Ceo
CurrentEnabling enterprises to accurately and easily connect internal data feeds to large language model workflows.
Instructor: Applied Machine Learning
CurrentTeaching the Machine Learning Foundations track with Mike Wu, Julie Kallini, Kevin Wu, and Eric Wu. I teach two 4 week project-driven online courses covering ML modeling and best practices for any scale of ML project. Introduction to Applied ML is for new practitioners, and Data-Centric Deep Learning covers more advanced approaches and tools to get deep learning working on real problems.https://uplimit.com/track/ml-foundations
Scientific Advisor
Current
Lecturer
CurrentTeaching Spoken Language Processing (CS224S)Course covers traditional and deep learning approaches to building conversational agents and spoken language understanding systemsLecture slides and course details:http://cs224s.stanford.edu
Senior Manager
Special Projects Group.Team lead building algorithmic approaches and tools for large-scale, data-centric deep learning. My teams are responsible for producing high quality labeled data with a mixture of human and machine annotation, along with data-centric tooling to address long-tail deep learning performance challenges for robot autonomy.
Co-Founder & Chief Scientist
(Acquired by Parexel) Roam empowers healthcare companies to derive structured meaning from language data to improve healthcare for all.Defined product and technology strategy. Built and led cross functional engineering teams working on a platform for healthcare natural language processing. Led technical sales efforts and requirements gathering from customers.
Senior Research Scientist
Building neural network approaches to spoken language understanding.Acquired by Microsoft in 2018
Phd Candidate
Dissertation: Deep Neural Networks in Speech RecognitionAdvisor: Andrew NgSecondary Advisor: Dan JurafskySee my research website for details.
Technical Advisor
Worked closely with engineering team to architect approaches to speech recognition and spoken language understanding to enable the wit.ai platform for developing spoken language understanding models.Wit.ai was acquired by Facebook in 2015, and went on to form the foundation for Facebook's M Messenger agent, as well as other spoken language understanding projects.
Vice President Of Product Development
Personalized and predictive navigation solutions
Research Intern
Worked with Brian Kingsbury on the speech research team. Developed novel deep neural network approaches to acoustic modeling for multiple languages, and with limited amounts of training data.
Research Intern
Worked with Dong Yu and Li Deng on the Microsoft Research Speech Team. Developed deep recurrent neural network acoustic models for conversational telephone speech
Nih Research Fellowship Independent Research In Machine Learning / Ai
Developed technique for one-shot learning with Bayesian networks. Resulted in a paper presented at Cognitive Science Conference in 2009
Teaching Assistant
Assisted Prof. Tai Sing Lee teaching computer vision in spring 08 and spring 09.
Student Researcher -- Mapprentice Project
Advised by Dr. J. Andrew Bagnell. Developed particle filtering tools for GPS data. Led a small software development team to create personal navigation device software
Student Researcher -- Littledog Team
Advised by Dr. Chris Atkeson and Dr. J. Andrew Bagnell. Developed robotic simulation software. Developed Kalman filter for sensor integration. Assisted graduate students in preparing software for monthly evaluations
Junior Consultant
Lotus Notes database development
Andrew Maas education
Doctor Of Philosophy (Ph.D.), Computer Science
B.S., Computer Science & Cognitive Science
Frequently asked questions about Andrew Maas
Quick answers generated from the profile data available on this page.
What company does Andrew Maas work for?
Andrew Maas works for micro1.
What is Andrew Maas's role at micro1?
Andrew Maas is listed as VP of AI Engineering at micro1.
What is Andrew Maas's email address?
AeroLeads has found 1 work email signal at @stanford.edu for Andrew Maas at micro1.
What is Andrew Maas's phone number?
AeroLeads has found 2 phone signal(s) with area code 443, 650 for Andrew Maas at micro1.
Where is Andrew Maas based?
Andrew Maas is based in Mountain View, California, United States while working with micro1.
What companies has Andrew Maas worked for?
Andrew Maas has worked for Micro1, Pointable, Uplimit (Formerly Corise), Sanas, and Stanford University.
How can I contact Andrew Maas?
You can use AeroLeads to view verified contact signals for Andrew Maas at micro1, including work email, phone, and LinkedIn data when available.
What schools did Andrew Maas attend?
Andrew Maas holds Doctor Of Philosophy (Ph.D.), Computer Science from Stanford University.
What skills is Andrew Maas known for?
Andrew Maas is listed with skills including Machine Learning, Artificial Intelligence, Computer Science, Python, Neural Networks, Algorithms, Matlab, and C++.
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