Mijin Kim

Mijin Kim
mkim445@gatech.edu

Mijin Kim is an assistant professor in the School of Chemistry and Biochemistry at Georgia Tech. Her research program is focused on the development and implementation of novel nanosensor technology to improve cancer research and diagnosis. The Kim Lab combines nanoscale engineering, fluorescence spectroscopy, machine learning approaches, and biochemical tools (1) to understand the exciton photophysics in low-dimensional nanomaterials, (2) to develop diagnostic/nano-omics sensor technology for early disease detection, and (3) to investigate biological processes with focusing problems in lysosome biology and autophagy. For her scientific innovation, Kim has received multiple recognitions, including being named as one of the STAT Wunderkinds and the MIT Technology Review Innovators Under 35 List.

Assistant Professor, School of Chemistry and Biochemistry
Google Scholar
https://scholar.google.com/citations?user=pik_YKcAAAAJ
https://chemistry.gatech.edu/people/mijin-kim

Peter Kasson

Peter Kasson
peter.kasson@chemistry.gatech.edu
https://kassonlab.org/

Peter Kasson is an international leader in the study of biological membrane structure, dynamics, and fusion, with particular application to how viruses gain entry to cells. His group performs both high-level experimental and computational work – a powerful combination that is critical to advancing our understanding of this important problem. His publications describe inventive approaches to the measurement of viral fusion rates and characterization of fusion mechanisms, and to the modeling of large-scale biomolecular and lipid assemblies. He has applied these insights to the prediction of pandemic outbreaks and drug resistance, with particular attention to Zika, SARS-CoV-2, and influenza pathogens in recent years. See https://kassonlab.org/ for more information.

Professor of Chemistry and Biomedical Engineering

Vida Jamali

Vida Jamali
vida@gatech.edu
Jamali Lab

Vida Jamali earned her Ph.D. in chemical and biomolecular engineering from Rice University under the guidance of Professor Matteo Pasquali and her B.S. in chemical engineering from Sharif University of Technology. Jamali was a postdoctoral researcher in Professor Paul Alivisato's lab at UC Berkeley and Kavli Energy Nanoscience Institute before joining Georgia Tech. The Jamali Research Group uses experimental, theoretical, and computational tools such as liquid phase transmission electron microscopy, rheology, statistical and colloidal thermodynamics, and machine learning to study the underlying physical principles that govern the dynamics, statistics, mechanics, and self-organization of nanostructured soft materials, in and out of thermal equilibrium, from both fundamental and technological aspects.

Assistant Professor, School of Chemical and Biomolecular Engineering
Phone
404.894.5134
Office
ES&T 1222
Additional Research
Studying dynamics and self-assembly of nanoparticles and macromolecules in heterogeneous chemical and biological environmentsInvestigating individual to collective behavior of active nanomachinesHarnessing the power of machine learning to understand physical rules governing nanostructured-soft materials, design autonomous microscopy experimentation for inverse material design, and develop new statistical and thermodynamic models for multiscale phenomena
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Aaron Stebner

Aaron Stebner
aaron.stebner@gatech.edu
MSE Profile Page

Aarn Stebner works at the intersection of manufacturing, machine learning, materials, and mechanics. He joined the Georgia Tech faculty as an associate professor of Mechanical Engineering and Materials Science and Engineering in 2020.

Previously, he was the Rowlinson Associate Professor of Mechanical Engineering and Materials Science at the Colorado School of Mines (2013 – 2020), a postdoctoral scholar at the Graduate Aerospace Laboratories of the California Institute of Technology (2012 – 2013), a Lecturer in the Segal Design Institute at Northwestern University (2009 – 2012), a Research Scientist at Telezygology Inc. establishing manufacturing and “internet of things” technologies for shape memory alloy-secured latching devices (2008-2009), a Research Fellow at the NASA Glenn Research Center developing smart materials technologies for morphing aircraft structures (2006 – 2008), and a Mechanical Engineer at the Electric Device Corporation in Canfield, OH developing manufacturing and automation technologies for the circuit breaker industry (1995 – 2000).

Associate Professor, School of Mechanical Engineering and Materials Science and Engineering
Phone
404.894.5167
Google Scholar
https://scholar.google.com/citations?hl=en&user=OpRg9IsAAAAJ&view_op=list_works&sortby=pubdate
Stebner Lab

David McDowell

David McDowell
david.mcdowell@me.gatech.edu
ME Profile Page

Regents' Professor and Carter N. Paden, Jr. Distinguished Chair in Metals Processing, Dave McDowell joined Georgia Tech in 1983 and holds a dual appointment in the GWW School of Mechanical Engineering and the School of Materials Science and Engineering. He served as Director of the Mechanical Properties Research Laboratory from 1992-2012. In 2012 he was named Founding Director of the Institute for Materials (IMaT), one of Georgia Tech's Interdisciplinary Research Institutes charged with fostering an innovation ecosystem for research and education. He has served as Executive Director of IMaT since 2013. McDowell's research focuses on nonlinear constitutive models for engineering materials, including cellular metallic materials, nonlinear and time dependent fracture mechanics, finite strain inelasticity and defect field mechanics, distributed damage evolution, constitutive relations and microstructure-sensitive computational approaches to deformation and damage of heterogeneous alloys, combined computational and experimental strategies for modeling high cycle fatigue in advanced engineering alloys, atomistic simulations of dislocation nucleation and mediation at grain boundaries, multiscale computational mechanics of materials ranging from atomistics to continuum, and systems-based computational materials design. A Fellow of SES, ASM International, ASME and AAM, McDowell is the recipient of the 1997 ASME Materials Division Nadai Award for career achievement and the 2008 Khan International Medal for lifelong contributions to the field of metal plasticity. McDowell currently serves on the editorial boards of several journals, and is co-Editor of the International Journal of Fatigue.

Regents' Professor Mechanics of Materials, Woodruff School of Mechanical Engineering and School of Materials Science and Engineering
Carter N. Paden Jr. Distinguished Chair in Metals Processing
Phone
404.894.5128
Office
IPST 415
Additional Research
Computer-Aided Engineering; Micro and Nanomechanics; Fracture and Fatigue; Modeling
Google Scholar
https://scholar.google.com/citations?hl=en&user=mVYGZ2oAAAAJ&view_op=list_works&sortby=pubdate

Hang Lu

Hang Lu
hang.lu@gatech.edu
Lµ Fluidics Group

Hang Lu received her B.S. from the University of Illinois, Urbana-Champaign and her M.S.C.E.P and Ph.D. from the Massachusetts Institute of Technology. She is currently the Associate Dean for Research and Innovation in the College of Engineering and C. J. "Pete" Silas Chair, School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. Lu's research interests involve the interface of engineering and biology and her lab, the Lu Fluidics Group, is conducting research at these interface levels. The Lu Fluidics Group engineers BioMEMS (Bio Micro-Electro-Mechanical System) and microfluidic devices to address questions in neuroscience, cell biology, and biotechnology that are difficult to answer using conventional techniques.

Faces of Research - Profile Article

Associate Dean for Research and Innovation, College of Engineering
C. J. "Pete" Silas Chair, School of Chemical and Biomolecular Engineering
Phone
404.894.8473
Office
EBB 3017
Additional Research
Microfluidic systems for high-throughput screens and image-based genetics and genomicsSystems biology: large-scale experimentation and data miningMicrotechnologies for optical stimulation and optical recordingBig data, machine vision, automationDevelopmental neurobiology, behavioral neurobiology, systems neuroscienceCancer, immunology, embryonic development, stem cells
Google Scholar
https://scholar.google.com/citations?hl=en&user=DDKNuYgAAAAJ&view_op=list_works&sortby=pubdate
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