Shang-Wen Daniel Li

CEO

Menlo Park, California, United States10 yrs 2 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Led multimodal LLM research at Meta.
  • Developed AI-driven products enhancing user experience.
  • Expert in Natural Language Processing and Reinforcement Learning.
Stackforce AI infers this person is a leader in AI research and development, specializing in Natural Language Processing and Conversational AI.

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Skills

Core Skills

Machine LearningNatural Language ProcessingDeep LearningReinforcement LearningConversation Ai

Other Skills

Artificial Intelligence (AI)Self-supervised LearningMultimodal LearningAutomatic Speech RecognitionDialog ManagementData-driven Dialog ManagementSpoken Language TechnologyWeb DevelopmentData MiningAlgorithmsLaTeXLinuxPythonMatlabJava

About

FAIR research lead in multimodal large language model, content generation, and self-supervised learning for vision, languages and audio

Experience

10 yrs 2 mos
Total Experience
2 yrs
Average Tenure
4 yrs 10 mos
Current Experience

Meta

Senior Staff Research Scientist, Meta Superintelligence Labs (FAIR)

Jun 2021Present · 4 yrs 10 mos · San Francisco Bay Area

  • Research lead at FAIR, leading a research team in LLMs and foundation model pretraining, self-supervised learning, and multimodality, including project LLaMa 3/4, MetaCLIP, DINO, and Chameleon.
Machine LearningNatural Language ProcessingArtificial Intelligence (AI)Self-supervised LearningMultimodal Learning

Amazon web services (aws)

Applied Scientist Manager

Jun 2019Jun 2021 · 2 yrs

  • Support a team building chatbot for enterprise customers with Conversation AI, Natural language Understanding, Automatic Speech Recognition, and Deep Learning techniques.
Natural Language ProcessingAutomatic Speech RecognitionDeep Learning

Apple

Machine Learning Scientist, Siri

Jun 2018Jun 2019 · 1 yr

  • Support a team building Natural language Understanding and Dialog Management component for Siri.
Natural Language ProcessingDialog Management

Amazon

Applied Scientist, Alexa

Jan 2017Jun 2018 · 1 yr 5 mos · Greater Boston Area

  • Lead a team developing data-driven dialog manager for Alexa to bring conversational experience to users.
  • Designed and implemented the infrastructure for Alexa conversational AI team, including one Alexa third-party skill (MovieBot) to collect conversational interaction from real Alexa users, a dialog simulator trained with RNN to augment collected data and simulate the environment, and a dialog agent to perform actions with its policy trained with reinforcement learning (including DQN, dueling DDQN, and PPO) in the simulated environment.
  • Achieved similar success rate with 20% less clarification questions in one Alexa skill (MovieBot).
Reinforcement LearningData-driven Dialog Management

Cockatoo ai

Co-Founder, CTO

Jan 2015Jan 2017 · 2 yrs

  • Built a startup aiming at making life convenient using conversation AI and spoken language technology with a team from Harvard and MIT.
  • Launched two core products: Cockatoo news and Alfred. Cockatoo news is a bot delivering popular news and providing conversational user experience. Alfred is a hotel management system including a bot to collect customer in-room requests, and a backend interface for request visualization and organization technology.
Conversation AISpoken Language Technology

Edx

Research Scientist Intern

Jun 2014May 2015 · 11 mos

  • Developed web interfaces for edX.
  • Designed a learnersourcing and natural language processing based recommendation module for edX’s intelligent tutoring system.
  • Using the module, learners are found to spend 10% less time in passing the problem sets with the accuracy unchanged.
Natural Language ProcessingWeb Development

Education

Massachusetts Institute of Technology

Doctor of Philosophy (PhD) — Computer Science

National Taiwan University

BS and MS — Electrical Engineering

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