Jaime Lien

Co-Founder

San Francisco, California, United States20 yrs experience

AI ML PractitionerAI Enabled

Key Highlights

Pioneered the first foundation model for physical AI.
Led development of Soli radar for touchless interaction.
Expert in radar imaging and interferometry.

Stackforce AI infers this person is a leader in AI and sensing technologies, with a strong focus on aerospace and consumer electronics.

Contact

Skills

Core Skills

Research And Development (r&d)Signal ProcessingAi DevelopmentMultimodal Data ProcessingRadarCommunication SystemsWireless Communication

Other Skills

SensorsRadio Frequency (RF)Natural language processingRadar systems designAlgorithm developmentProductizationSynthetic aperture radarData analysisCommunication system designTracking algorithmsBayesian algorithmsWireless networks

About

As Co-Founder and Chief Scientist at Archetype AI, I lead research and development of technologies that help machines understand the physical world. With over 13 years in perceptual sensing, I’ve led teams from early invention to productization, transforming new scientific insights into practical, scalable technologies. Before Archetype, I was a lead inventor of Soli radar at Google’s Advanced Technology and Projects (ATAP), guiding its development from concept to deployment across multiple consumer products. Earlier, at NASA’s Jet Propulsion Laboratory, I developed next-generation wireless communication and localization systems for space missions. I hold a B.S. and M.Eng. in Electrical Engineering from MIT and a Ph.D. in Electrical Engineering from Stanford University, where my research focused on radar imaging and interferometry. My work sits at the intersection of sensing, AI, and science, exploring how machines can deepen our understanding of the world and what it means to truly perceive it.

Experience

20 yrs

Total Experience

4 yrs 4 mos

Average Tenure

2 yrs 6 mos

Current Experience

Archetype ai

Co-Founder & Chief Scientist

Oct 2023 – Present · 2 yrs 6 mos

Archetype AI is a physical AI company helping humanity make sense of the world. We solve real world problems using the power of AI to reveal the world’s hidden patterns and behaviors that escape our perception.
As the creator of Newton™, the first foundation model that understands the physical world, Archetype has pioneered a new category of AI that fuses real-time multimodal temporal data and natural language, so customers can ask open-ended questions about what is most important – the real world around them.
We are building a multimodal AI foundation model that fuses real-time sensor data and natural language to perceive, understand, and reason about the world around us. This allows everyone to ask open-ended questions about our world – and take informed action to make it better.
We are releasing our foundation model as a developer platform so that people everywhere can start using it to solve their real-world problems. Join us in unlocking the full potential of Physical AI.

Signal ProcessingRadarSensorsRadio Frequency (RF)Research and Development (R&D)

Google

Sensing Lead, Google ATAP

Jul 2014 – Oct 2023 · 9 yrs 3 mos · San Francisco Bay Area

Technical lead for team of signal processing, RF, and systems engineers developing core sensing techniques for perception and interaction with commodity radar. Architected the sensing approach, design principles, and signal pipeline for the Soli custom pico-radar gesture sensor, enabling new modes of touchless interaction in wearables and devices. Responsible for radar systems design and specification, signal pipeline and algorithms development from concept to product. Soli radar has shipped in the Google Pixel 4/4XL smartphone, Nest Thermostat, and Nest Home Hub 2.

Signal ProcessingRadarRadio Frequency (RF)

Stanford university

Graduate Research Fellow

Sep 2009 – Aug 2014 · 4 yrs 11 mos

Interferometric synthetic aperture radar (InSAR) satellite imaging to measure spatiotemporal deformations in the Earth's crust.

Nasa jet propulsion laboratory

Member of Technical Staff

Sep 2007 – May 2009 · 1 yr 8 mos

Analyzed communication and tracking system design and requirements for Altair Lunar Lander. Designed ranging and positioning algorithms for networked lunar assets. Quantified effects of routing algorithms and communication constraints on distributed state estimation for fractionated spacecraft initiative.

Massachusetts institute of technology (mit)

Graduate Research Assistant

Sep 2005 – Jun 2007 · 1 yr 9 mos

Developed a distributed Bayesian algorithm for cooperative localization in wireless networks. Formulated problem as belief propagation in a factor graph and implemented message passing using particle filters. Conducted extensive measurement campaign to model ranging error for ultra-wideband radios in multipath environments.