Grace Lam Email & Phone Number
Principal Research Engineer @ NVIDIA
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Grace Lam Location
- California, United States
Grace Lam Work
- Principal Research Engineer @ (June 2024 - Present)
- Research Engineer II @ (September 2022 - May 2024)
- Teaching Assistant @ (January 2022 - June 2022)
- Data Scientist Intern, AI Research Team @ (June 2021 - September 2021)
- Teaching Assistant @ (September 2020 - June 2021)
- Machine Learning Intern, Turi Team @ (June 2019 - August 2019)
- Research Assistant, Medical Vision Group @ (September 2018 - May 2019)
- Research and Development Intern, Big-Data Machine Learning Team @ (June 2018 - August 2018)
- NLP Research Intern, Web IR and NLP Group @ (December 2017 - May 2018)
- Engineering Practicum Intern, Geo Team @ (June 2017 - September 2017)
- Software Development Intern @ Huna Makia (January 2017 - February 2017)
- Independent Mobile App Developer @ CPR Alert (August 2014 - December 2016)
- Student Researcher @ Summer Science Program (SSP) (June 2015 - August 2015)
Grace Lam Education
- Stanford University
Master of Science (M.S.) (Computer Science)
2020-2022 - Massachusetts Institute of Technology
Bachelor of Science (B.S.) (Computer Science and Engineering)
2016-2020 - Lynbrook High School 2012-2016
Grace Lam Skills
- Python
- Java
- Linux
- Machine Learning
- Deep Learning
- Computer Vision
- Distributed Systems
- Event Management
- Event Photography
- Unix
- Pandas
- TensorFlow
- Keras
- Theano
- PyTorch
- XGBoost
- Hadoop
- Flume
- Firebase
- Jupyter
- Natural Language Processing (NLP)
- Recommender Systems
- NumPy
- Scikit-learn
- Vespa
- Spark
- C/C++ (familiar)
- SQL (familiar)
- Scala (familiar)
- R (familiar)
- Obj-C (familiar)
- Swift (familiar)
- HTML (familiar)
- JavaScript (familiar)
- Diffusion Models
- Health AI
- JAX
- Large Language Models (LLM)
- Model Distillation
- Model Interpretability
- Reinforcement Learning from Human Feedback (RLHF)
- Scikit Learn
- Sql Familiar
- Public Speaking
- C
- Mit App Inventor
- Teaching
- Html Familiar
- Video Editing
- Xcode
- Swift
- Eclipse
- Photojournalism
- HTML
- Google Cloud Platform
- iOS development
- Construct 2
- C/C++ Familiar
- JavaScript
- C++
- Php Familiar
- Google Firebase
- C/C++
- SQL
- PHP
Grace Lam Summary
- Grace Lam, based in California, United States, is currently a Principal Research Engineer at NVIDIA. Grace Lam brings experience from previous roles at Google DeepMind, Stanford University and Palo Alto Networks. Grace Lam holds a 2020 - 2022 Master of Science (M.S.) in Computer Science @ Stanford University. With a robust skill set that includes Python, Java, Linux, Machine Learning, Deep Learning and more. Grace Lam has 2 emails and 2 mobile phone numbers on RocketReach.
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