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Computer Vision and Machine Learning in Cancer Detection(ongoing)
Computer Vision and Machine Learning in Cancer Detection(ongoing)
Harvard-MIT Summer Institute (Summer 2019):
- https://github.com/santi921/CancerImaging
- Aimed to use machine learning to classify low-resolution images of fluorescent tissue into cancer positive/negative images.
- Ported these algorithms into a mobile camera system that could be used for classification
- Creating a database of algorithms and images to find the most robust, accurate algorithm for this purpose.
Optimization of Superconducting Circuits for Qubits
Optimization of Superconducting Circuits for Qubits
- Simulated flux and charge architectures to optimize for circuit anharonicity, separation, and sensitivity.
- Used pre-built optimization packages featuring gradient descent and swarm algorithms.
Regulation of Genetics in C.Elegans through alternative splicing
Regulation of Genetics in C.Elegans through alternative splicing
- Leveraged a random sequence generator to explore the space of intron sequences to determine intron regulation.
- Constructed a two-color reporter two visually confirm intron skip/inclusion events
Thunderstruck
Thunderstruck
Spring 2019
https://github.com/jonathanGB/thunderstruct
Optimization of discretized Poisson sampling to simulate the propagation of lightning in a 2D medium. Implemented through a hybrid Python/C++ OMP/MPI infrastructure
Frictional Memory
Frictional Memory
Spring 2019
https://github.com/santi921/AM216Final2019
Convolution Neural Networks applied to the estimation of aging data on frictional surfaces.
Computer Vision in Chemical Synthesis
Computer Vision in Chemical Synthesis
Spring 2018-2019
https://github.com/PS50-Spring2018/Autovis
Used compute vision packages to build software for the coordination of color-changing chemical reactions.
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