Understanding Generalization in Deep Learning

I won the NeurIPS competition on Predicting Generalization in Deep Learning!
(See more details on the project page)
Keywords: Deep Learning, Generalization, Representation Learning, Neuroscience

Temporal Network Tracking of Mitochondria

Building algorithms to track and analyze mitochondria from microscopic images
Keywords: Network Science, Algorithms, Drug Development, Machine Learning

MERCURY: Virtual Reality Enabled Remote Robotic Surgery

Building a system to enable surgery from anywhere
Keywords: Robotic Surgery, Virtual Reality, Da Vinci, Teleoperation

Interpretable Deep Learning for Medical Imaging

Making Deep Learning for Medical Applications more Human-Explainable
Keywords: Interpretability, Deep Learning, Medical Imaging, Healthcare,  Uncertainty, Neuroscience

Abstracting Deep Neural Networks into Interpretable Concept Graphs

Repurposing trained deep networks into a concept graph for concept-level interpretability
Keywords: Deep Learning, Interpretability, Graphical Modelling, Mutual Information

freeweAR​

Flexible Wearable Devices for Tangible Human Computer Interaction
Keywords: Wearables, Flexible Sensors, HCI, Mixed-Reality, Ubiquitous Computing

Tactile-texture-transfer (ongoing)

Allowing users to transfer real-world, tangible textures to images, in real time 
Keywords: Interaction, Art, Neural Networks, Textures

Causal Inference on Neural Networks​

Separating Causality from Correlation in Neural Networks
Keywords: Causality, Interpretability, Neural Networks, Compliance 

Exploring Drug Resistance Pathways in Pathogens​

Using Computational Modelling and Network Science to elucidate antibiotic resistance
Keywords: Computational Modelling, Network Science, Drug Resistance, Protein-Networks, Computational Biology

Kinetic Parameter Estimation

Local + Global parameter search using genetic algorithms + simplex
Keywords: Metabolomics, Parameter Estimation, Kinetic Reactions, Genetic Algorithms, Simplex
Other Course Assignments, Papers and Articles

Dual Degree Project Thesis
Interpreting Deep Neural Networks for Medical Image Analysis

Probabilistic Graphical Modelling
Loopy Belief Propagation, Sampling Based Inference, Latent Dirichlet Allocation
D-separation, Ising Models, I-equivalence
Junction Trees, HMM, MCMC

Political Ideologies
Shallow Ecologism and Marx's Commodity Producing Systems
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Human Factors in Design
The Emergence and Development of Human Factors as a Scientific Field: Post World War II Perspective
Cognitive Psychology: Product Sensation and Perception
Usability Assessment: Job portals, University websites and Search engines

Biomaterials
Implant surface modifications to combat TKA failure

Computational Systems Biology
Network Biology
Synthetic Lethality