Varun Goyal
Stanford University, University of Michigan, Indian Institute of Technology Madras
About
Postdoctoral researcher in Otolaryngology at Stanford University studying complex biological systems through nonlinear dynamics, biomechanics, structural and fluid dynamics, acoustics, and vibrations. My work focuses on developing physics-based and computational models that connect structure, mechanics, and function in living systems.
I have conducted research across leading institutions in the U.S., Europe, and Asia, including Stanford, the University of Michigan, IIT Madras, RWTH Aachen, NTU Singapore, and NUT Japan. My work spans high-impact R&D projects that combine rigorous engineering analysis with biological and biomedical applications.
I am passionate about applying quantitative modeling and computational methods to understand complex systems and translate fundamental insights into real-world impact.
Employment
-
Stanford University Postdoctoral Scholar2025 - Present
-
University of Michigan Graduate Student Research Assistant2020 - 2025
-
Indian Institute of Technology Madras Teaching Assistant2019 - 2020
-
RWTH Aachen University Research Intern2019 - 2019
-
Plasma Giken Corporation Limited Summer Intern on Cold Spray Project2018 - 2018
-
Nagaoka University of Technology Research Intern (Friction Stir Welding)2018 - 2018
-
DRDO Terminal Ballistics Research Laboratory Research Intern (Atomizers)2017 - 2018
-
Mondelez International Project Intern (Carbon Emissions Reduction)2017 - 2017
-
Maruti Suzuki India Ltd Trainee (Assembly Line Operations)2016 - 2017
Education
-
University of Michigan Doctor of Philosophy2020 - Present
-
Indian Institute of Technology Madras Masters of Technology2019 - 2020
-
Indian Institute of Technology Madras Bachelors of Technology2015 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (8)
- Three-row stereocilia model predicts mammalian hair bundle behavior Save
- Geometric gain approximation dictates the accuracy of hair bundle models Save
- Linking fast adaptation, slow adaptation, and mechanical creep in mammalian hair cell mechano-electric transducer channels. Save
- Predicting Intracellular Calcium Effects through Hair Bundle Dynamic Modeling Save
- Cochlear hair bundle dynamics: modeling calcium effects and row-wise interactions Save
- Hair Bundle Micromechanics Including Stereocilia Kinematics and the Interaction of Stimulus and Bundle Rate Constants Save
- Modeling the nonlinear mechanics and dynamics of Cochlear Outer Hair Cell Stereocilia Save
- CFD and Experimental Analysis of Swirl Type Single‐Fluid Atomizer for Optimization of Recrystallization Process to Make Ultrafine RDX Explosive Save