Dr. Jesse Mcdaniel

Associate Professor

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Biography

Jesse McDaniel is an Associate Professor in the School of Chemistry and Biochemistry at the Georgia Institute of Technology. His research focuses on bridging the gap in applied electronic structure theory and first-principles molecular simulation to enable predictions of chemical reactivity in complex environments. He develops multi-scale modeling methods and software, along with novel quantum mechanical/molecular mechanical (QM/MM) quantum embedding approaches. His work encompasses ab initio force field development and molecular simulations, currently falling under the umbrella of physical electrochemistry. McDaniel utilizes computer simulations to understand the physical properties and chemical reactivity of electrochemical interfaces. His computational electrosynthesis research is concentrated on understanding the reactivity of radical ions modulated by complex electrochemical environments, using free energy simulations to predict kinetic rate parameters and provide design principles for optimizing reaction yield and selectivity. Furthermore, he employs computer simulations for fundamental studies of the structure and dynamics of electrochemical interfaces in complex electrolytes and room temperature ionic liquids. For more details, visit his research group website.

Research Interests

Awards

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Teaching CIOS Honor Roll

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National Science Foundation CAREER Award

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Charles Martha Casey Award

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Hypercube Scholar Award

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.