M. P. Anantram (Anant) is a Professor of Electrical Engineering, and an Adjunct Professor of Physics at University of Washington (UW). Anantram’s group at UW currently works on the study of charge transport in biological molecules, 2D materials, formation of filaments and phase change in devices, and on theory and algorithms for modeling nanoscale materials and devices. His group has developed some of the fastest methods to calculate electron density and current in devices using direct methods based on the NEGF approach. They have also performed novel computational studies on the electromechanical properties of quasi one-dimensional nanowires and demonstrated the role of drain-end scattering in nanotransistors and noise properties of normal-superconductor junctions. His research efforts have predicted a significant chirality dependent bandgap change in carbon nanotubes and a large change in spontaneous emission rates in silicon nanowires with strain. More recently, his group has been involved in developing methods to understand charge transport in biological molecules and their application in electronic devices and electrical methods for disease detection and sequencing. Anantram earned his B.Sc. in Applied Science from P.S.G. College of Technology, M.Sc. in Physics from University of Pune, and Ph.D. in Engineering from Purdue University. Prior to joining UW, his experience included working at the NASA’s Center for Nanotechnology and serving as Professor at the University of Waterloo. Anantram has also served as an Associate Editor for IEEE Transactions on Nanotechnology and chair of the Modeling and Simulation Committee of the IEEE Nanotechnology Council. He currently serves as an editor of IEEE Transactions on Electron Devices and member of the Modeling and Simulation Committee of the IEEE NTC. He recently published a book titled Quantum Mechanics for Engineers and Material Scientists.

Yiren (Ethan) Wang is a 5th year PhD student in the Quantum Devices lab. He received his B.S. and M.S. degrees in Electrical and Computer Engineering from the University of Washington, in 2019 and 2021. He is continually pursuing a Ph.D. degree in Electrical and Computer Engineering from the University of Washington. Since 2019, Yiren Wang has been part of our group in modeling charge transport in nanoscale devices. His research interests include nanotechnology, modeling charge transport in DNA, quantum mechanical modeling of nanodevices, the electrical properties of DNA/RNA molecules, statistical data analysis, and machine learning.

Email: ethanwyr@uw.edu

Room: EEB 253J

LinkedIn: https://www.linkedin.com/yi-ren-wang

GitHub: https://github.com/ethanwyr

William Livernois is a 5th year PhD student in the Quantum Devices lab. His current research focuses on the incorporation of DNA and proteins into electronic devices for sustainable electronics. William’s work includes developing quantum transmission models for biological systems such as cytochromes, investigating spin-dependent transport mechanisms in biological systems, and applying ab-initio modeling to metal-modified DNA structures. Prior to his PhD, William earned dual B.S. degrees in Chemical Engineering and Physics from MIT before working in industry as an R&D engineer for four years. His work focused on optimizing chemical vapor deposition systems for nanomaterials synthesis and developing characterization methods for quality control.

Email: willll@uw.edu

Room: EEB 253D

LinkedIn: https://www.linkedin.com/in/willlivernois

GitHub: https://github.com/wliverno

Arpan De has always had a deep interest in physics, but he also obtained a BS in electrical engineering degree from Jadavpur University. He works on both the physics and invention of memory devices as part of our group.

After a BS and MS in electrical engineering from Saudi Arabia and the USA respectively, Olayian Alolayian worked in the industry for a few years. He is leading the effort in molecular dynamics (MD) simulations and studies a variety of phenomena using these simulations.

Shiang-Bin Chiu has a BS in electrical engineering and MS in physics. In our group, he works on topologically engineered DNA nanostructures and plans to work on decoherence models in future.

Simon Cao is a new Ph.D. student in Anant’s group, having joined the group during his Master’s at UW, He currently works on semi-classical leaning problems, and will be moving into more quantum modeling problems for his Ph.D. His work currently includes some DFT calculations on 2D materials.

Email: purunc@uw.edu

Room: EEB 253D

LinkedIn: https://www.linkedin.com/in/simoncaouw

Paritosh Singh completed his Integrated M.Sc. in Physics at UM-DAE CEBS, Mumbai, India. His research interests mainly revolve around understanding the optical and electronic properties of different materials using first principle methods. He completed his Master’s thesis at Humboldt University of Berlin where his focus centered on unraveling the optoelectronic properties of TMDCs interfacing with metal substrates, with a particular emphasis on MoS2 on-top gold.

Email: toshi24@uw.edu

Room: EEB 253C

LinkedIn: https://www.linkedin.com/in/paritosh-singh-6b5331216

I am completing my B.S. in Electrical Engineering in 2025 and M.S. in 2026. My research focuses on charge transport in DNA, with a strong interest in quantum chemistry and molecular orbitals. In my free time, I enjoy solving Sudoku puzzles.

I am a Junior at UW majoring in Electrical and Computer Engineering. My interests are in DNA-based nanoelectronics, quantum computing, and other novel technologies to improve computational efficiency. I am working on creating a Python codebase for transport calculations, as well as analyzing the effects of counterions on energy levels in DNA. My hobbies are playing the piano and watching films.

Email: sshaik@uw.edu

LinkedIn: https://www.linkedin.com/in/sachal-shaikh

Sara Kumar is currently completing her B.S. in Electrical and Computer Engineering at the University of Washington. She is planning to do a masters after graduation, hopefully also at UW. Her research focuses on the effects on metals in synthetic DNA strands using molecular dynamics simulations (MD).

Email: skumar8@uw.edu

LinkedIn: https://www.linkedin.com/in/sara-kumar1/

Hongning Wang  is currently a student in Eastlake High School and will matriculate into university in 2025. I have been working in Anant’s group since June 2022 on both research and educational projects related to computer science/computation and applied physics. My primary research has centered around using statistical/machine learning techniques to analyze DNA conductance data. I developed an ensemble model approach for classifying single-mismatched genetic material based on averaged conductance traces, and contributed to efficient conductance trace preprocessing methods. In addition, I prepared slides on the theoretical and mathematical basis of ML methods. More recently, I have been studying DNA conductance modeling with Marcus Theory and Monte Carlo simulation methods. Apart from Prof. Anant, I have been mentored by his graduate student Yiren and by Prof. Das. I am a co-author on two journal publications/submissions in Prof. Anant’s group.