The Michigan Engineer News Center

Andrew Wagenmaker awarded NSF Fellowship for machine learning

Wagenmaker will utilize the award as he pursues his doctoral degree at the University of Washington.| Short Read
EnlargeAndrew Wagenmaker
IMAGE:  Andrew Wagenmaker (BSE MSE EE ’16 ’17) on a trip to the Great Wall of China.

Andrew Wagenmaker (BSE MSE EE ’16 ’17) was recently awarded an NSF Graduate Research Fellowship to continue research on machine learning. Wagenmaker will utilize the award as he pursues his doctoral degree at the University of Washington this fall in Seattle.

While at Michigan, Wagenmaker worked with Raj Nadakuditi and Necmiye Ozay, both assistant professors in the Electrical Engineering and Computer Science Department.

Wagenmaker was part of the College of Engineering Honors Program, and finished an honors thesis with Professor Ozay on control theory. After finishing his undergraduate study early, he continued on to earn his master’s degree through the Sequential Undergraduate/Graduate Study Program (SUGS). His master’s work focused on machine learning with Professor Nadakuditi.

“My future research will be at the intersection of machine learning and control theory,” Wagenmaker says.

The work I’m doing in engineering is going to positively impact the world.Andrew Wagenmaker

As a child, Wagenmaker was always tinkering, and excelled in math and physics. Beyond his aptitude, however, Wagenmaker identifies with a deeper purpose for pursuing engineering.

“The work I’m doing in engineering is going to positively impact the world, it’s going to make the world a better place, and it’s going to improve people’s lives,” he explains.

Wagenmaker isn’t wasting any time to begin improving lives. With the time off before starting the next step in his academics, Wagenmaker is currently resettling refugees by helping them prepare for and find employment.

Andrew Wagenmaker
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The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

Mapping quantum structures with light to unlock their capabilities

Rather than installing new “2D” semiconductors in devices to see what they can do, this new method puts them through their paces with lasers and light detectors. | Medium Read