Explore My Project Gallery

Energy Consumption Optimization

I led the technical development of an interactive exhibit designed to teach children about sustainable energy use. My team and I built a laser-cut model house with LED lights. Lights were controlled by Arduino buttons and connected it to a MATLAB GUI script that visualized real-time energy savings that I wrote. The exhibit showed how much power could be conserved by turning off lights when not in use, making abstract concepts tangible for young audiences. After engaging with the display, over 95% of participants reported a change in their energy-saving intentions, highlighting the project’s educational impact.

In this lab, I investigated how different osmotic environments affect the viability of NIH 3T3 fibroblasts embedded in sodium alginate hydrogels. Using fluorescence microscopy and a MATLAB-based image analysis script I developed, I quantified live and dead cells in control, hypotonic, and hypertonic conditions using pixel analysis from dozens of hydrogel images, automatically looping through all the images and each folder. Then, the script conducts an ANOVA and Post-Hoc analysis to determine the statistical significance of the results.

Live/Dead Assay of NIH-3T3 Murine Fibroblasts in Sodium Alginate Hydrogels

In this lab, I evaluated surfactant coatings on polystyrene for their ability to reduce protein adsorption in the context of blood-based cancer screening device design. I performed a Bradford protein assay and built a standard curve using known protein concentrations to calibrate the spectrophotometric absorbance readings. I then developed a MATLAB script to perform background subtraction, calculate protein concentrations from the standard curve, convert to percent adsorption, and conduct a two-factor ANOVA with post-hoc analysis.

Evaluating Surfactant Performance in Preventing Protein Adsorption

In this project, I analyzed Framingham Heart Study data to explore how systolic blood pressure correlates with BMI, cholesterol levels, and smoking status. Using MATLAB, I built a regression model and visualized results with 3D scatter plots and regression matrices. I evaluated model fit and assumptions using residual analysis, allowing for accurate interpretation of trends. This project sharpened my skills in multivariate regression, data visualization, and interpreting health data through a quantitative lens.

This project focused on optimizing hypothetical exoskeleton designs for space exploration by comparing anthropometric data from military and civilian populations. I used MATLAB to organize and analyze datasets, running multi-factor ANOVA to identify statistically significant differences in height and weight. These insights were used to inform design recommendations that account for population variability. The project deepened my understanding of human-centered design, statistical analysis, and applying engineering tools to address challenges in extreme environments.

Comparative Anthropometric Analysis for Optimizing Exoskeleton Design

I analyzed the mechanical behavior of a femur under three-point bending by calculating internal reaction forces, shear forces, and bending moments at multiple cross-sections. I performed hand calculations to determine normal and shear stresses at key locations along the bone, and used grayscale CT image data in MATLAB to compute cross-sectional properties including area, centroid, and moment of inertia. Experimental force-displacement data were used to generate stress-strain plots and determine Young’s Modulus of the bone.

Young's Modulus from Three Point Bending Analysis

Systolic Blood Pressure Regression Analysis

I simulated a full ECG amplifier circuit in LTSpice, combining a three-op-amp instrumentation amplifier with an active bandpass filter. I manually calculated the theoretical transfer function and cutoff frequencies for the filter, verified gain behavior through AC sweep analysis, and tested signal amplification across the system using sinusoidal and real ECG inputs. The circuit achieved x1000 gain at 10 Hz and successfully cleaned the input signal to produce a recognizable ECG waveform at the final output.

I examined the ethical implications of using artificial intelligence in warfare by analyzing it through three major philosophical frameworks—consequentialism, deontology, and virtue ethics. The paper explores how autonomous robots could reduce human casualties, the moral boundaries of lethal AI systems, and whether virtuous leadership is necessary for ethical implementation. I also discussed whether human-like robots deserve certain rights, ultimately advocating for a balanced, context-aware ethical approach grounded in critical thinking and multiple value theories.

An Analysis of the Use of AI in Warfare Using Value Theory

I analyzed motion capture data of a subject walking on flat ground and up a ramp to evaluate biomechanical differences in gait. Using MATLAB, I processed marker data to calculate toe displacement, toe speed, knee flexion angles, and knee angular velocity. I identified differences in stride dynamics, joint motion, and timing between the two walking conditions, revealing how incline walking alters lower limb biomechanics.

Motion Capture Biomechanical Gait Study

ECG Signal Amplification and Filtering