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PhD student in machine learning at Purdue University, building 3D models that capture both appearance and physical behavior.
I am a PhD student in Computer Science at Purdue University working on 3D generative models for physically functional objects.
I design models that generate and reconstruct 3D objects with plausible appearance and useful physical behavior. My work focuses on learned 3D representations that account for geometry, materials, and simulation, with the goal of producing objects whose structure supports their intended function.
Recent Paper
PG-3DGS connects appearance-based 3D reconstruction with physics-based reasoning. The framework adds differentiable physics objectives to Gaussian Splatting, guiding generated shapes toward physical functionality while preserving visual quality.
We physically validate our method by 3D printing generated planes optimized for lift, and measuring their lift under identical airflow conditions.
| Submitted | May 11, 2026 |
|---|---|
| Comments | Submitted to Artificial Intelligence Journal. 52 pages. |
Framework coupling differentiable fluid simulation with 3D Gaussian representations for physically functional object generation.
Read the PG-3DGS paper on arXiv or open the simulation visualizer.
3DGS / Differentiable Simulation / PyTorch / CUDA
Colorado School of Mines MS thesis work using machine learning to impute missing soil properties for engineering datasets.
Machine Learning / Data Imputation / Numerical Data
MInDS Lab research implementing and improving deep learning methods, including Generative Adversarial Imputation Networks, for missing orebody data.
GANs / OOD Learning / Multi-Instance Learning
Field session project with Venvee: built a PyTorch model and AWS-backed API to predict purchase categories from user data.
PyTorch / Pandas / AWS / Training Pipelines
| When | Where | What |
|---|---|---|
| 2024-current | Purdue University | PhD in Computer Science. Research in AI, 3D Gaussian splatting, differentiable simulation, and physics-based modeling. |
| 2022-2023 | Colorado School of Mines | MS in Computer Science, 4.0 GPA. Thesis: Imputing Missing Soil Properties Using Machine Learning. |
| 2019-2022 | Colorado School of Mines | BS in Computer Science, Data Science focus, Computational and Applied Mathematics minor, 3.9 GPA. |
2024 Presidential Excellence PhD Award, Purdue University