Hi, I'm Kevin!
I'm a machine learning engineer at Dentsply Sirona. I graduated with a Master of Science in Computational Biology from Carnegie Mellon in 2023 and I have previously worked in industry and academia as a research engineer, cloud engineer, and software developer. I am eager to use my unique background to solve the big problems in biotech.
Featured Projects
I am a programmer at heart and I enjoy using Machine Learning and AI to solve biological problems. I am also comfortable integrating my applications within cloud infrastructure (AWS CCP + MLS certified).
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Jeopardy! Question Reformulation Finetuning Google's T5 model for question answering. Tags: Natural Language Processing, PyTorch |
Functional Tissue Unit Segmentation Biomedical image segmentation with U-Net models. Tags: Computer Vision, PyTorch |
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GoNN Deep learning based melanoma classification in Golang. Tags: Computer Vision, Golang |
Distilling CodeBERT: an Investigation Evaluated the performance of 4 pre-trained BERT models fine-tuned on code summarization. Tags: Deep Learning, Natural Language Processing |
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GeoLocate A client-server based web application. Given a URL, the application will return its estimated location via geographic coordinates. Tags: Computer Networking, Python |
Mark Generates random text in an author's style by using n-order Markov Chains. Tags: Natural Language Processing, Golang |
About me
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I'm an aspiring entrepreneur looking to make an impact in biotech. I am currently a machine learning engineer at Dentsply Sirona building out our deidentification platform to power machine learning workflows at scale. Previously, I was a software engineer at Foundation Medicine, optimizing genomics pipelines to transform cancer care for all. I was also a research engineer at Ampersand Biomedicines, a privately held, early-stage biotechnology company pioneering the development of multi-specific medicines to systematically drug complex biology. I was also Intern #1 at Notovox, where I migrated the company's entire codebase to Amazon Web Services. I studied computer science and pre-med at Holy Cross before pursuing a Master's in computational biology at Carnegie Mellon. After working in academia as a research assistant, I was eager to integrate a scientist's mindset with the scrappiness of a programmer. Hence, biotech. I'm grateful for the opportunities that shaped me into the person I am today and I am excited to tackle future problems in biotech. |
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Get in touch
| Resume | Github | Email Me |
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Outside of the Classroom
I live and breathe music. I'm classically trained in both voice and the violin, and I've transferred some of those skills over when creating my own music. You can find my original songs on streaming platforms like Spotify. At Carnegie Mellon, I currently sing for a band called Garlic Bread, and we plan to release original music sometime within 2022 (fingers crossed).