Lisa Wang Email & Phone Number
@stanford.edu
5 phones found area 650 and 212
LinkedIn matched
Who is Lisa Wang? Overview
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Lisa Wang is listed as Staff Research Engineer and Tech Lead Manager at Google DeepMind, a company with 6578 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at stanford.edu, phone signal with area code 650, 212, and a matched LinkedIn profile for Lisa Wang.
Lisa Wang previously worked as Staff Research Engineer / Tech Lead Manager at Google Deepmind and Senior Research Engineer at Google Deepmind. Lisa Wang holds Master’S Degree, Computer Science from Stanford University.
Email format at Google DeepMind
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AeroLeads found 2 current-domain work email signals for Lisa Wang. Compare company email patterns before reaching out.
About Lisa Wang
I am passionate about developing technologies that help humans make more informed choices and improve universal access to knowledge. Previously, I built algorithms that turn geospatial data into actionable insights at Orbital Insight to help organizations make more informed decisions. Prior to that, I pursued machine learning research for educational applications (e.g. for intelligent tutoring systems) at Stanford and published our work at the Educational Data Mining Conference in 2017. I have taught two introductory courses at Stanford on AI and data mining (CS102 & CS94SI), and was a teaching assistant for graduate level courses on AI and Natural Language Processing (CS221 & CS224N).
Listed skills include Valuation, Analyze Business Models, Private Equity, Corporate Finance, and 53 others.
Lisa Wang's current company
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Lisa Wang work experience
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Staff Research Engineer / Tech Lead Manager
Current
Senior Research Engineer
Research Engineer
Software Engineer, Machine Learning
Research in Efficient Machine Learning (model compression, quantization) to speed up computation and reduce energy consumption.
Software Engineer - Machine Learning / Computer Vision
Orbital Insight’s mission is to source, process, and analyze geospatial and make it actionable for businesses, governments, and NGOs. By applying machine learning and computer vision technologies, we build software that interprets data at petabyte scale to drive better business and policy decisions. - Designing and implementing scalable computer vision.
Course Instructor For Cs102: Big Data Tools And Techniques, Discoveries And Pitfalls
- Co-taught introductory data analysis course with Ethan Chan- Topics included: machine learning, data mining, data visualization, databases, common pitfalls, ethical issues- Gave lectures and prepared programming assignments to practice data analysis tools including Python with sklearn / numpy and SQL- Course website.
Student Researcher In Deep Learning
- Designed deep learning models with TensorFlow to perform deep knowledge tracing on student code submissions on code.org.- Explored machine learning techniques to create embeddings (high-dimensional vector representations) of code submissions.- Modeled a student’s knowledge as she solves exercises as a step towards better automated feedback and.
Course Assistant For Cs221: Artificial Intelligence: Principles And Techniques
Course topics include machine learning, search, game playing, markov decision processes, constraint satisfaction, graphical models, logic.
Cs94Si Instructor
Created a student-initiated course on Artificial Intelligence with my co-instructors Karen Wang and Mathieu Rolfo.Course Description: Artificial intelligence has entered nearly every facet of our society. This course intends to give students, particularly non-CS majors, a fundamental understanding of AI and its implications for art, ethics, philosophy, and.
Machine Learning Research Intern
- Developed a speaker identification system under real-time performance constraints.- Designed end-to-end deep learning models based on LSTM’s and Siamese Networks and experimented with different architectures.- Built proof-of-concept application with ROS (Robot Operating System) to test speaker identification system with real-time enrollment and.
Chapter President
- Ran the Stanford Chapter (CA Gamma) of Tau Beta Pi, the national engineering honor society. - Led a team of 16 student officers who organize the initiation of new members, speaker panels, service events, K-12 and peer tutoring, social mixers and more.- Collaborated with the Stanford School of Engineering to communicate the interests of the student body.
Software Development Intern
- Designed and implemented algorithmic improvements on automatic album creation for the Windows Photos App.- Initiated and led data collection effort for training machine learning algorithms and measuring results.- Collaborated with Microsoft Research to integrate a related AI research project into a customer-facing product.- Detected and fixed.
Cs106A/B Section Leader (Programming Methodology And Programming Abstractions)
- Led weekly discussion sections for 12 students in CS106A and CS106B, the two introductory computer science courses at Stanford.- Explained programming concepts and guided students through the problem solving process.- Emphasized object-oriented programming and good programming style, e.g. code decomposition and abstraction.
Research Assistant
- Designed six interdisciplinary programming problems for CS106B (Programming Abstractions).- Covered data structures (e.g. linked lists, graphs), algorithms and Big-O analysis.- Included topics such as robot localization, genetic algorithms, sentiment analysis and traffic optimization. - Created the code in C++, the student handout and the section leader.
Summer Intern At Porsche Cars Australia
- Edited and critiqued websites of Porsche dealerships with the goal to unify the web design across dealerships.- Analyzed 80 marketing agencies and evaluated their suitability for Porsche Cars Australia based on their portfolios.
Lisa Wang education
Master’S Degree, Computer Science
Bachelor Of Science (B.S.), Computer Science
Frequently asked questions about Lisa Wang
Quick answers generated from the profile data available on this page.
What company does Lisa Wang work for?
Lisa Wang works for Google DeepMind.
What is Lisa Wang's role at Google DeepMind?
Lisa Wang is listed as Staff Research Engineer and Tech Lead Manager at Google DeepMind.
What is Lisa Wang's email address?
AeroLeads has found 2 work email signals at @stanford.edu for Lisa Wang at Google DeepMind.
What is Lisa Wang's phone number?
AeroLeads has found 5 phone signal(s) with area code 650, 212 for Lisa Wang at Google DeepMind.
Where is Lisa Wang based?
Lisa Wang is based in San Francisco Bay Area, United States, United States while working with Google DeepMind.
What companies has Lisa Wang worked for?
Lisa Wang has worked for Google Deepmind, Google Ai, Orbital Insight, Stanford University, and Apple.
How can I contact Lisa Wang?
You can use AeroLeads to view verified contact signals for Lisa Wang at Google DeepMind, including work email, phone, and LinkedIn data when available.
What schools did Lisa Wang attend?
Lisa Wang holds Master’S Degree, Computer Science from Stanford University.
What skills is Lisa Wang known for?
Lisa Wang is listed with skills including Valuation, Analyze Business Models, Private Equity, Corporate Finance, Due Diligence, Investment Banking, Mergers, and Equities.
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