Shukla Group
Molecular Engineering Laboratory
The long-term research goal of Shukla group is to combine theory, computation, and experiments to develop quantitative models of biological phenomena relevant for health, energy and climate change. We integrate ideas from a wide range of disciplines tied together by a vision of “Dynamic” biology and its role in engineering products.
If you are interested in learning more about our research and available positions, please contact us!

Diwakar Shukla
Principal Investigator

Matthew Chan
Graduate Student, ChBE, 2017-

Jiming Chen
Graduate Student, ChBE, 2017-

Soumajit Dutta
Graduate Student, ChBE, 2018-

Austin T. Weigle
Graduate Student, Chemistry, 2017-

Prateek Bansal
Graduate Student, ChBE, 2019-

Xuenan Mi
Graduate Student, Biophysics, 2019-

Zhengyuan Xue
Graduate Student, Biophysics, 2019-

Hsin-Lan (Nicole) Chiang
Graduate Student, ChBE, 2020-

Jesse Horne
Graduate Student, ChBE, 2020-

Diego E. Kleiman
Graduate Student, Biophysics, 2020-

Krishna Kumar Narayanan
Graduate Student, Biochemistry, 2019-

Lingyun Xu
Graduate Student, Bioengineering, 2021-

Sirikarn Phuangthong
Graduate Student, ChBE, 2021-

Song Yin
Graduate Student, ChBE, 2021-

Tanner J. Dean
Graduate Student, Biophysics, 2021-

Briana Sobecks
Undergraduate student, ChBE 2022

Anh Nguyen
Undergraduate Student, ChBE 2023

Lawrence Zhao
Student Researcher, University High School, 2020-

Rabindranath Paul
Postdoctoral Fellow, ChBE, 2021-
Latest Group News
Projects Research
Molecular Plant Biology
We employ computational and experimental techniques for interrogating protein dynamics to investigate regulation of plant transporters and hormone receptors to guide future crop innovation.
Molecular Medicine
Our group is interested in deciphering the mechanisms of regulation of protein function with a particular focus on membrane transporter proteins and G-protein coupled receptors (GPCRs).
Simulation Methods
We are developing computational methods to address the challenges of conformational sampling, accuracy and interpretability of large scale simulation data from molecular simulations.
Experiments Protein Engineering
We are employing high-throughput experimental and computational methods to decipher sequence-structure-dynamics-function relationship for protein engineering.