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TechLab at Mcity

TechLab_formal (1)

TechLab at Mcity is a Company-in-Residence program (company-sponsored technical projects housed at Mcity and the Ann Arbor campus) for early-stage advanced mobility companies in the connected and autonomous vehicle (CAV) industry through the work of elite and technically-skilled students. 

2019 Cohort Teams

Aditi Krishnan-attachment

Aditi Krishnan
Computer Science | Class of 2020

Kevin Kraydich-attachment

Kevin Kraydich
Computer Science | Class of 2021

Maxim Hayes-attachment

Maxim Hayes
Computer Science | Class of 2021

Tianhong Wen-attachment

Tianhong Wen
Mechanical Engineering | Class of 2019

Jon Mullen - Team Mentor
CTO | RightHook

Improving Upon a New Kind of PGiL

RightHook's simulation platform offers a full closed-loop testing environment that allows companies to repeatedly and rigorously test millions of scenarios by driving, flying and navigating in virtual worlds hosted in the cloud. The student team will improve upon a new kind of "proving-grounds-in-the-loop" (PGiL) simulation, where a physical vehicle is driven in a physical environment (the proving grounds) through virtual traffic (the simulation). This includes creating augmented imagery offline and implementing message processing and recording to use vehicle state in simulator.  

Christopher Nguyen-attachment

Christopher Nguyen
Computer Science| Class of 2020

Mingshuo Shao-attachment

Mingshuo Shao
Computer Engineering | Class of 2019

Betty Wan

Betty Wan
Mechanical Engineering | Class of 2020

Jason Magyari

Jason Magyari
Mechanical Engineering | Class of 2020

Lawyer Vaughn Jr. - Team Mentor
Autonomous Vehicle Product/Infrastructure Tester | May Mobility

Eric Savage - Team Mentor
Test Engineer | May Mobility

Deploying Fully Autonomous Shuttles

May Mobility recently purchased a RC-Dummy that is planned to be repurposed for automobility testing. The student team is working on a robotics product that is already professional grade, but will be doing modifications to it to suit May Mobility. At the end of this project the team will have designed and built a mobile test platform that can be used in AV related tests. 

Anoop Ravella-attachment

Anoop Ravella
Computer Science | Class of 2020

Grant Willard-attachment

Howard Willard
Computer Science | Class of 2020

Matt Saracenco-attachment

Matt Saraceno
Computer Science| Class of 2021

Nathan Gaissert-attachment

Nathan Gaissert
Electrical Engineering | Class of 2020

Raunaq Bose - Team Mentor
Co-Founder and CTO | Humanising Autonomy

Wassim El Youssoufi - Team Mentor
Deep Learning Engineer | Humanising Autonomy

Predicting Human Behavior from Visual Camera Footage

The student team is working to improve the safety of AAATA buses and will build a prediction model specifically for pedestrian behavior in the Ann Arbor area. By notifying bus drivers of risky pedestrian behavior, they can improve their decisions to slow down, brake or turn in how best to react more quickly.

Kristina Danos-attachment

Kristina Danos
Data Science | Class of 2021

Daniel Wu-attachment

Daniel Wu
Computer Science | Class of 2020

Anthony Liang

Anthony Liang
Computer Science | Class of 2020

Harry Sood

Harry Sood
Aerospace, Aeronautical, and Astronautical Engineering | Class of 2020

Brian Pilnick - Team Mentor
North American Product Lead | Innoviz

Kun Huang

Kun Huang
Computer Science | Class of 2020

LiDAR Remote Sensing Solutions

The student team is working with a production sensor and a third party software to extract object information such as pedestrian detection and tracking. As part of the project, students do a 'sanity check' on the sensor and measure accuracy and range detection capability of various objects at various distances and lighting conditions. They also interface with the traffic light controllers and other connected infrastructure installed at MCity.

Linyun Luo 1-attachment

Linyun Luo
Computer Science Class of 2020

Yashmeet Ghambir-attachment

Yashmeet Gambhir
Data Science | Class of 2020

Omar Alhazzaa-attachment

Omar Alhazzaa
Computer Engineering | Class of 2021

Matthew Johnson-Roberson - Team Mentor
Co-Founder and CEO | Refraction AI

All Weather Self-Driving Delivery Vehicles

The student team is working to improve the performance of Refraction AI's visual SLAM system at dusk and low light. This will include working with Refraction's engineering team to evaluate the current sensor suite and lighting hardware on the vehicle.

Get Involved


ENTR 390. 013 | Tues. 4-6PM, 1690 Beyster

TechLab students experience entrepreneurship while working in the emerging industry of connected and autonomous vehicle industry (CAV). We are looking for the most driven, passionate and talented students to join this program.


  • Tackle industry challenges through CAV technical projects as part of the 1-year fellowship program (Winter-Fall; 3 credits/semester)  
  • Gain experience developing new technologies at an early-stage startup
  • Receive mentorship from industry experts, fellow students, and U-M faculty across multiple disciplines
  • Attend lectures from faculty and industry partners on topics such as business models and project management
  • Obtain leadership and collaboration skills while completing a sponsored company project with other driven and passionate classmates



Partnering companies lead entrepreneurial innovation while leveraging elite and technically-skilled U-M student teams who work to tackle company-sponsored technical projects. This Company-in-Residence program is for early-stage advanced mobility companies in the connected and autonomous vehicle (CAV) industry.


  • Work on your proposed year-long project with a small team of top-tiered talented student interns
  • Receive access to the Mcity Test Facility–the nation’s leading mobility research and urban test facility on U-M’s North Campus
  • Gain connections with U-M faculty and industry experts
  • Leverage the close proximity to Detroit, the birthplace of mobility


We have several suggested, but not required, skills and courses to successfully complete company sponsored projects. They are: Robotics, Mechatronics (Design, CAD, and machine shop skills), ability to code in C, Python, or C++, machine vision, machine learning, AI focus, mobile software development. The suggested courses are: ME 250, ME 350, and ME 450, EECS 442, 453, 445, 461, 463, other 400+, and courses in computer vision, robotics, and sensor fusion.

TechLab is open to all undergraduate and graduate students.

Due to the highly competitive nature of the program, if you are not accepted, we recommend reapplying the following year. Depending on the technical experience that a student has, an incoming freshman could be selected to participate.

TechLab at Mcity is open to undergraduate and graduate students. Students should speak with their advisor to ensure it fits within their program.

In order to participate, you must be able to commit to two semesters – Winter & Fall.

Students are required to attend a lecture class every week. Class serves two purposes (1) Receive lectures from faculty on topics like business model and project management (2) Present weekly updates and ask for guidance relating to project roadblocks

To fit with U-M guidelines of 2-3 hours of work per credit hour, this course will require 8-10 hours outside of class.

Only selected students will be contacted via email.

Student teams have an hour-long weekly Skype or Google Hangout call with the company they are matched with. At different points during the year company leads may travel to Ann Arbor to work with students.

3 general elective credits per semester. You must be eligible to receive all 3 credits.


*Note: EECS students can use this course as a flexible technical credit. We are working to get this approved among other CoE departments. 


Upon being accepted into the incubator program, companies are paired with a team of 3-4 U-M students. As a part of TechLab, you also receive access to Mcity’s Open CAV program, the Mcity Test Facility– the nation’s leading mobility research and urban test facility on U-M’s North Campus, and additional resources as needed.

We are looking for early-stage technology companies in the autonomous and connected vehicle industry. The typical TechLab company is one that has already raised > $5M dollars and has more than 15 employees. This guarantees that we are working with globally leading companies that are well on their way and have the management capability to oversee and contribute to projects in a substantial way.

All companies are required to submit a proposal. If you are interested in being considered for this incubator program, please email techlab-mcity@umich.edu.

Existing intellectual property of technology startups, and any IP developed using the U-M facilities, will be strictly protected and remain with your company. All students are required to sign a NDA.

Alumni Companies

Civil Maps
San Francisco, CA

Fall 2016 - Winter 2017

Detroit, MI

Fall 2017 - Fall 2018

Villeurbanne, France

Fall 2016 - Winter 2017

San Francisco, CA

Fall 2017 - Winter 2018

Portland, OR and Ann Arbor, MI

Fall 2016 - Fall 2018

New York City, NY

Fall 2017 - Winter 2019

TechLab Staff

Jay Ellis

Nick Moroz
Program Director

Emilee Studley
Program Specialist

Greg McGuire
Lab Director - Mcity

TechLab is managed by U-M Center for Entrepreneurship, in partnership with Mcity.

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