Excited to share three new papers this year: our machine-learning inverse design of colored radiative cooling paints (Nano Letters), FourPhonon_GPU, a CPU-GPU heterogeneous computing scheme for phonon scattering and thermal conductivity (Cell Reports Physical Science), and biodegradable paints for daytime radiative cooling (Nano Letters).
Excited to share that I have joined Apple Inc. as a Machine Learning Researcher after completing my Ph.D. at Purdue University!
Honored to be a recipient of the 2025 Dimitris N. Chorafas Foundation Award for my research in Physics and AI! This is a highly selective global recognition, given to only ~20 researchers worldwide annually.
Media posts: Linkedin1 
Thrilled to receive the Graduate Student Gold Award at the 2025 Materials Research Society (MRS) Spring Meeting & Exhibit. This is the highest recognition awarded to graduate students by MRS. I’m truly grateful for being awarded. I am also honored to serve as the session chair of Symposium SF01: Thermal Transport in Materials. Media posts: MRS website, Linkedin1, Linkedin2 
Happy to receive the Magoon Research Excellence Award! The award is for students with outstanding research performance; limited to four students annually. Media posts: Linkedin 
Honored to be invited as a guest speaker for SYS 350: Systems Methods this Spring at Purdue University. I gave a talk on “Integrating AI, High-Performance Computing (HPC), and Multiscale Physics for Solving Energy Transport Problems.”. Thanks to the course instructors and students for the engaging discussion!
Happy to give two oral presentations and receive two Outstanding Presentation Award at 2024 IMECE! Two session that I was at:
Happy to receive the Warren and Judy Stevenson Scholarship, awarded for outstanding research in applied optics. This prestigious fellowship is granted to only three students each year. Media post: Linkedin 
I had an incredible summer at Apple battery team! Two key projects I did:
Happy to be selected as a Systems Fellows at Purdue Systems Collaboratory! The Systems Fellows Program will support my interdisciplinary research in the intersection of Scientific Computing and Machine Learning. Media posts: Linkedin1, Linkedin2
I am selected as members of The Honor Society of Phi Kappa Phi, the nation’s oldest and most selective honor society for students from all academic disciplines. Top 10% of graduate students. 
My research story “New machine learning method turbocharges heat transfer simulations” was covered by news media! Read more at Purdue News 
Best presentation award at ASME 2023 Heat Transfer Summer Conference. 