NY Genome Center
- Machine learning in genomics at Knowles Lab
- Deep learning-based prediction of splicing patterns from genomic sequence
- Deep generative modeling of single-cell expression data
Knowles Lab, New York Genome Center. Computational genetics and machine learning researcher. Bachelor of Science in Computer Science at UCLA Engineering. Developed software for genome sequencing, autonomous fleet management, and auto-remediation.
This IoT-based system integrates the Google Smart Home and Amazon Web Service Platform to enable voice control over user camera functionalities, such as streaming video to your Chromecast.
This ticketing application designed natively for both iOS and Android allows users to reserve tickets at the school theater and notifies users about upcoming school entertainment or events.
The Fine Dust Monitoring System uses AWS IoT to send SNS notifications in case of high concentrations of fine dust in the area. The system includes an entire network of devices providing real time data.
Updates along the way, some reflections on personal experiencesx`.
An overview of my path to pursuing a Computer Science PhD: harnessing the unprecedented scalability and precision of computational methods to develop quantitative solutions in biomedicine.
Witnessing the societal and cultural effects of the Cold War on Eastern Europe (while enjoying some escape rooms).
An inspiration for my passion for assistive technologies
An insight into my exploration of bioinformatics, an emerging field that represents the potential of interdisciplinary research.
An in-depth analysis of the novel by Chinua Achebe, examining the commentary on post-colonialism and representation of African culture.
The Physics of Music, the intertwining of my passions
The Dread of Approaching the Meaningless End: analyzing Hemingway's exploration of nihilism.