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Junek Selected as GEM Fellow
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Gregory Villiam Junek has been selected as a GEM Fellow based on his academic record, prior awards, and current Ph.D. research. A Ph.D. student in the Georgia Tech School of Electrical and Computer Engineering, Junek has also been selected as a Lawrence Livermore National Laboratory (LLNL) Scholar.
Junek received his B.S. in EECS from the University of California, Berkeley in 2018, and he is currently a member of the Georgia Tech Electronics and Micro-System (GEMS) Lab, where he is advised by ECE Associate Professor Hua Wang. Junk joined the GEMS Lab in fall 2018, and his past awards include the 2018 Georgia Tech Presidential Fellowship and Best Undergraduate Poster Award (2nd Place) at the 2017 SRC TECHCON conference, held annually in Austin, Texas.
Junek’s research takes place at the interface of biology, engineering, computer science, and physical sciences and addresses challenges in healthcare, precision medicine, and fundamental biological sciences. His research aims to create seamless multi-modal bidirectional bio-electronic interfaces by combining the abilities of modern nanotechnology fabrication processes with the unprecedented computational capabilities and versatile sensing/actuation modalities of CMOS electronics.
The mission of The National GEM Consortium is to enhance the value of the nation’s human capital by increasing the participation of underrepresented groups (African-Americans, American Indians, and Hispanic Americans) at the master’s and doctoral levels in engineering and science. To learn more about the GEM fellowship, please visit http://www.gemfellowship.org.
Status
- Workflow Status:Published
- Created By:Jackie Nemeth
- Created:01/10/2020
- Modified By:Jackie Nemeth
- Modified:01/10/2020
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Keywords
- Gregory Villiam Junek
- GEM Fellow
- The National GEM Consortium
- Georgia Tech
- School of Electrical and Computer Engineering
- Lawrence Livermore National Laboratory
- Hua Wang
- Georgia Tech Electronics and Micro-System Lab
- healthcare
- precision medicine
- fundamental biological sciences
- bio-electronic interfaces
- sensing modalities
- actuation modalities
- CMOS electronics
- Biology
- engineering
- Computer Science
- physical sciences