# Andrea Allais

> Machine Learning Engineer

Location: Palo Alto, California, United States
Profile: https://flows.cv/andreaallais

• Three years of experience in autonomous vehicle perception at Cruise Automation.
• Ph.D. and eight years of experience in computational theoretical physics.
• Fully proficient in C++/STL, Python, Tensorflow, ROS. Some experience developing web applications: SQL, JavaScript.
• Expert in deep learning, statistics, linear algebra, geometry, numerical methods.

## Work Experience
### Software Engineer @ Bedrock Robotics
Jan 2024 – Present

### Senior Software Engineer @ Nuro
Jan 2019 – Jan 2024 | Mountain View, California, United States
Perception - Tracking

### Senior Software Engineer @ Cruise Automation
Jan 2017 – Jan 2019
• Designed and implemented the library used on the vehicle to access maps in real time.
• Designed and implemented a new web-based labeling tool that reduced by 20x the cost of labeling a LiDAR temporal sequence.
• Generated new project ideas, provided guidance and upheld code quality standards for a team of 9 people.

### Software Engineer @ Cruise Automation
Jan 2015 – Jan 2017 | San Francisco Bay Area
• Designed and implemented most of the heuristic LiDAR processing algorithms used by
the autonomous vehicle.
• Designed, trained and deployed the first LiDAR processing CNN at the company.

### Post-doctoral fellow @ Harvard University
Jan 2013 – Jan 2015 | Cambridge, MA
Theory of copper-oxide high temperature supeconductors
‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
• Introduced new quantum dimer model for the pseudogap phase. Methods: Lanczos diagonalization, analytical.
• Full quantum derivation of de Haas-van Alphen phenomenology. Methods: transfer matrix inversion.
• Obtained charge density wave order as instability of the t-J model. Methods: variational Monte Carlo, analytical. 

Non-Fermi-liquids
‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
• Computed critical exponents of a model exhibiting
non-Fermi liquid behavior. Methods: analytical


## Education
### Doctor of Philosophy (Ph.D.) in Theoretical and Mathematical Physics
Massachusetts Institute of Technology

### Master of Science (M.S.) in Elementary Particle Physics
Università degli Studi di Torino

### Bachelor of Science (BS) in Physics
Università degli Studi di Torino


## Contact & Social
- LinkedIn: https://linkedin.com/in/andrea-allais
- Portfolio: http://andrea-allais.rhcloud.com/

---
Source: https://flows.cv/andreaallais
JSON Resume: https://flows.cv/andreaallais/resume.json
Last updated: 2026-04-10