Facundo Fernandez

Facundo Fernandez
facundo.fernandez@chemistry.gatech.edu

Facundo was born in Buenos Aires, Argentina. He received his MSc in Chemistry from the College of Exact and Natural Sciences, Buenos Aires University in 1995 and his PhD in Analytical Chemistry from the same University, in 1999.  In August 2000, he joined the research group of Prof. Richard N. Zare in the Department of Chemistry at Stanford University.  His work focused on several aspects of Hadamard transform time-of-flight mass spectrometry with an emphasis on coupling this technique to capillary-format separation methods.  In 2002, he joined the group of Prof. Vicki Wysocki in the Department of Chemistry at the University of Arizona, to develop novel tandem mass spectrometers for gas-phase peptide ion studies. In 2004 he joined the School of Chemistry and Biochemistry at the Georgia Institute of Technology where he currently holds the position of Vasser-Woolley Endowed Professor in Bioanalytical Chemistry and Associate Chair for Research and Graduate Training. He is the author of over 185 peer-reviewed publications and numerous invited presentations at national and international conferences. He has received several awards, including the NSF CAREER award, the CETL/BP Teaching award, the Ron A. Hites best paper award from the American Society for Mass Spectrometry, and the Beynon award from Rapid Communications in Mass Spectrometry, among others. He serves on the editorial board of The Analyst and as an Associate editor for the Journal of the American Society for Mass Spectrometry. His current research interests include the field of metabolomics and the development of new ionization, imaging, machine learning and ion mobility spectrometry tools for probing composition and structure in complex molecular mixtures. In his (limited) free time, Facundo enjoys a number of activities that include camping with his family, rock climbing, paddling, archery, photography and ham radio. 

Vasser Woolley Foundation Chair in Bioanalytical Chemistry
Professor; School of Chemistry and Biochemistry
Phone
404.385.4432
Office
ES&T L1244
Additional Research
Mass Spectrometry (MS) is one of the key analytical methods used to identify and characterize small quantities of biological molecules embedded in complex matrices. Although MS has found widespread use, improvements are still needed to extend its application to the grand challenges of this century. Since starting my position at Georgia Tech in 2004, my group members and I have used an integrated strategy with roots in bioanalytical chemistry, instrumentation development, bioinformatics, and theoretical modeling to focus on questions of great societal and scientific significance. To this purpose, we have integrated with cross-cutting teams devoted to problems that range from explaining the origins of life on Earth and diagnosing cancer at an early stage, to tracking the sources and prevalence of counterfeit pharmaceuticals worldwide. The common theme along these questions is the need for highly accurate tools for quantifying, identifying, and imaging trace chemicals in complex mixtures. Research in our lab uses state-of-the-art mass spectrometry, ion mobility gas-phase separations,ultrahigh performance liquid chromatography, and new soft ion generation techniques. We investigate the obtained data using machine learning and other powerful bioinformatic approaches. Our group is very dynamic, and each student pursues more than one project at a time, usually in collaboration with other group members or with other research groups at GT or elsewhere. Graduate and undergraduate students are trained in a variety of bioanalytical instrumentation/methodologies, with an emphasis on the fundamentals. We are analytical mass spectrometrists at heart, and strive to answer "big" scientific questions or questions with a large societal impact.
IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Chemistry & Biochemistry

Yuhong Fan

Yuhong Fan
yuhong.fan@biology.gatech.edu
Associate Professor
Georgia Research Alliance Distinguished Scholar
Phone
404-385-1312
Office
Petit Biotechnology Building, Office 2313
Additional Research
  • Bioinformatics
  • Chromatin
  • Epigenetics,  Epigenomics & Epidrugs
  • Gene Expression
  • Stem Cell Biology
  • Stem Cell Differentiation
IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Biological Sciences

Irfan Essa

Irfan Essa
irfan@cc.gatech.edu

Irfan Essa is a Professor in the School of Interactive Computing and Senior Associate Dean in the College of Computing (CoC), at the Georgia Institute of Technology. Professor Essa works in the areas of Computer Vision, Artificial Intelligence, Machine Learning, Robotics, Computer Graphics, and Social Computing, with potential impact on Content Creation, Analysis and Production (e.g., Computational Photography & Video, Image-based Modeling and Rendering, etc.) Human Computer Interaction, Artificial Intelligence, Computational Behavioral/Social Sciences, and Computational Journalism research.He has published over 150 scholarly articles in leading journals and conference venues on these topics and several of his papers have also won best paper awards. He has been awarded the National Science Foundation CAREER Award and was elected an IEEE Fellow. He has held extended research consulting positions with Disney Research and Google Research and also was an Adjunct Faculty Member at Carnegie Mellon's Robotics Institute. He joined Georgia Tech in 1996 after his earning his Master's (1990), Ph.D. (1994), and holding a research faculty position at the Massachusetts Institute of Technology Media Lab (1988-1996).

Senior Associate Dean; College of Computing
Professor; School of Interactive Computing
Phone
404.894.6856
Additional Research

Healthcare Security; Machine Learning; Mobile & Wireless Communications; Computer Vision and Robotics; Computer Graphics and Animation; Computational Photography and Video; Intelligent and Aware Environments; Digital Special Effects; Computational Journalism; Social Computing

IRI/Group and Role
Data Engineering and Science > Faculty
People and Technology > Affiliated Faculty
Robotics > Core Faculty
Data Engineering and Science
People and Technology
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Interactive Computing
Research Areas
Artificial Intelligence

Alex Endert

Alex Endert
endert@gatech.edu

Alex Endert is an Associate Professor in the School of Interactive Computing at Georgia Tech. He directs the Visual Analytics Lab, where he works with his students to design and study how interactive visual tools help people make sense of data and AI. His lab often tests these advances in domains, including intelligence analysis, cyber security, decision-making, manufacturing safety, and others. His lab receives generous support from sponsors, including NSF, DOD, DHS, DARPA, DOE, and industry. In 2018, he received a CAREER award from the National Science Foundation for his work on visual analytics by demonstration. He received his Ph.D. in Computer Science from Virginia Tech in 2012. In 2013, his work on Semantic Interaction was awarded the IEEE VGTC VPG Pioneers Group Doctoral Dissertation Award, and the Virginia Tech Computer Science Best Dissertation Award.

Assistant Professor
Phone
404-385-4477
Additional Research

Visual Analytics

IRI/Group and Role
Data Engineering and Science > Faculty
People and Technology > Affiliated Faculty
Data Engineering and Science
People and Technology
University, College, and School/Department
Georgia Institute of Technology > College of Computing
Research Areas
Artificial Intelligence

Eva Dyer

Eva Dyer
evadyer@gatech.edu

Dyer’s research interests lie at the intersection of machine learning, optimization, and neuroscience. Her lab develops computational methods for discovering principles that govern the organization and structure of the brain, as well as methods for integrating multi-modal datasets to reveal the link between neural structure and function.

Assistant Professor
Phone
404-894-4738
Office
UAW 3108
Additional Research

Eva Dyer’s research combines machine learning and neuroscience to understand the brain, its function, and how neural circuits are shaped by disease. Her lab, the Neural Data Science (NerDS) Lab, develops new tools and frameworks for interpreting complex neuroscience datasets and building machine intelligence architectures inspired by the brain. Through a synergistic combination of methods and insights from both fields, Dr. Dyer aims to advance the understanding of neural computation and develop new abstractions of biological organization and function that can be used to create more flexible AI systems.

IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Coulter Department of Biomedical Engineering
Research Areas
Artificial Intelligence

Aaron Drysdale

Aaron Drysdale
adrysdale3@gatech.edu

Aaron Drysdale, a Master of Computer Science graduate from Georgia Tech, is the Chief Technologist at the Cloud Hub. He manages the proposal process for research grants, organizes industry training sessions, and provides direct technical support to research teams utilizing cloud resources. Aaron's role also involves collaborating with Microsoft’s technical teams to resolve complex issues, ensuring seamless and efficient research progress. His expertise and proactive approach are vital to the success of the Cloud Hub's mission to advance innovative research.

Chief Technologist - CloudHub @ GT
IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology
Research Areas
Artificial Intelligence

Yi Deng

Yi Deng
yi.deng@eas.gatech.edu
Professor
BBISS Co-lead: Microclimate Monitoring and Prediction
Phone
404-385-1821
Office
ES&T 3248
Additional Research
Hydroclimate variability at regional scalesPolar-tropical interactionFeedbacks of ENSO and Annular ModesProbabilistic graphical models and climate networks
IRI/Group and Role
Sustainable Systems > Initiative Lead
Data Engineering and Science > Faculty
Sustainable Systems
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Earth and Atmospheric Sciences
Research Areas
Sustainable Systems
  • Climate Science, Solutions, and Policy

Munmun De Choudhury

Munmun De Choudhury
mchoudhu@cc.gatech.edu

Munmun De Choudhury is currently an associate professor at the School of Interactive Computing, Georgia Tech. Munmun’s research interests are in computational social science, with a focus on reasoning about personal and societal well-being from social digital footprints.

Assistant Professor
Phone
404-385-8603
Additional Research

Social Media; Social Computing; Computational Social Science; Mental Health; Natural Language

IRI/Group and Role
Data Engineering and Science > Faculty
People and Technology > Affiliated Faculty
Data Engineering and Science
People and Technology
University, College, and School/Department
Georgia Institute of Technology
Research Areas
Artificial Intelligence

Bo Dai

Bo Dai
bodai@cc.gatech.edu

Bo Dai is a tenure-track assistant professor at Georgia Tech's School of Computational Science and Engineering. Prior to joining academia, he worked as a Staff Research Scientist at Google Brain. Bo Dai completed his Ph.D. in the School of Computational Science and Engineering at Georgia Tech, where he worked from 2013 to 2018 with Professor Le Song. His research focuses on developing principled and practical machine learning techniques for real-world applications. Bo Dai has received numerous awards for his work, including the best paper award at AISTATS 2016. He regularly serves as a (senior) area chair at major AI/ML conferences, such as ICML, NeurIPS, AISTATS, and ICLR.

Assistant Professor
Office
CODA E1342A, 756 W Peachtree St NW, Atlanta, GA 30308
Additional Research

Reinforcement Learning Data-Driven Decision Making Embodied AI

IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computational Science and Engineering
Research Areas
Artificial Intelligence

John Eric Coulter

John Eric Coulter
j.eric@gatech.edu

Eric joined PACE in 2021, and currently leads the Research Computing Facilitation team, after having worked as a Cyberinfrastructure Architect and RCF. Before joining PACE, Eric could be found at Indiana University as a systems engineer with the XSEDE Campus Bridging team, providing HPC-oriented consultations to institutions across the US. He also worked closely with the Cyberinfrastructure Research Center at IU, providing support for several different science gateway projects. Prior to that, his research in condensed matter physics at Florida State University involved computational studies of the optical properties of strongly correlated materials.

Research Scientist | Partnership for an Advanced Computing Environment
IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology