Portfolio

Calm Hands, help reduce nail-biting using computer vision and AI

• Create a TKinter desktop application that provides real time feedback on nail-biting
• Uses a fine-tuned deep neural network to classify frames from the webcam
• Built a training/testing dataset from scratch, and modified it based on model performance.

Decoding visual working memory load from EEG, published in Psychological Science journal

• Design, program, and conduct large-scale cognitive neuroscience experiments (50+ participants, +100 sessions)
• Preprocessing and statistical analysis of human behavioral and neural data
• Classification of cognitive states from neural data with Scikit-Learn
  

Competitive fighting game with heuristic-based AI

• Create complex fighting game in Python with PyGame
• Develop challenging AI using heuristics
• Deploy AI in real-time during gameplay
  

Visualizing and Analyzing Bicycle Infrastructure using OSMnx

• Visualize complex bicycle networks in major US cities with Matplotlib
• Quantify and compare networks
• Query OpenStreetMap database using OSMnx
  

Interactive Generative Line Art App using Bokeh and Numpy

• Create an interactive app using the Bokeh library
• Use Bokeh server and Python backend to run app in-browser
• Efficiently generate Numpy matrices to create patterns
  

Visualizing EEG Machine Learning Model using Animated Data Visualization

• Data visualization to understand EEG machine learning model
• Animate model coefficients to include temporal information using Matplotlib.Animation
• Back-project model coefficients using Scipy.Interpolate