My Research

I can't show too much about my research since most of it should be kept private. I have included some brief summaries for those curious.

Laboratory for Laser Energetics

I developed a 3D viewfactor code to simulate capsule uniformity during indirect-drive implosions. The program was written in FORTRAN (and using OpenMP for multiprocessing). I used the code to compare hohlraum geometries as well as test the possibilities of new target chamber designs.

I also developed a novel hohlraum design (PEPR) for the OMEGA 60-beam laser. This design would provide great uniformity and promise insight towards spherical hohlraum performance. I published my first, first-author paper on the PEPR hohlraum (Journal: Physics of Plasmas)

View Paper

Itai Cohen Laboratory (Cornell University)

Articular cartilage demonstrates unique mechanical properties, one being its reponses to shear stress. The top layer of cartilage is up to 10-100 times more compliant than the deeper layers.

I created a Python code to model fiber networks as a lattice consisting of nodes and bonds. The code stresses the network and then uses a (GPU-accelerated, sparsified, vectorized, pre-conditioned) iterative optimization algorithm to the find minimal energy state of the networks. The code is written in a modular-fashion and generalized enough in that it can be applied to both 2-D and 3-D lattices.

*The animation shown only uses around 10^2 nodes, though the code can easily handle beyond 10^6 nodes.

Panoptic Segmentation of Cartilage

An implementation of Mask R-CNN was trained on images/frames of impacted cartilage. The initial weights were pre-trained on the COCO dataset to support transfer learning, so only the head layers were trained.

Due to the noisiness of the dataset and limited training time, the model was not robust enough to perform segmentation to a high certainty. However, the results suggest that much of noise and inaccuracies within the pre-labeled dataset were not as present within the model.

Clinical Cardiovascular Research Center

During high school, I developed several softwares at CCRC of University of Rochester. The first being QTClock (shown on the right).

QTClock obtained data from ECG recordings and plotted both the QT interval along with a color gradient corresponding to the patient’s intake drug concentration in a clock-like graph. I also developed an online calculator that assesses the absolute risk of life-threatening cardiac events in patients with long QT syndrome. View Paper