Daniel Park Email & Phone Number
Machine Learning Engineer @ VoxelCloud
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Daniel Park Location
- Los Angeles, CA, US
Daniel Park Work
- Machine Learning Engineer @ (May 2021 - Present)
- Research Engineer @ (March 2016 - November 2020)
- Senior Associate Scientist @ (March 2013 - March 2016)
- Graduate Researcher, Berger Lab @ (September 2008 - December 2012)
- Research Assistant, Yeates Lab @ (June 2006 - June 2007)
Daniel Park Education
- Massachusetts Institute of Technology
MS (Computational and Systems Biology PhD program)
2008-2013 - UC Irvine
BS (Information and Computer Science)
Daniel Park Skills
- AWS
- Agile Methodologies
- Algorithm Design
- Amazon Web Services (AWS)
- Apache Airflow
- Apache Spark
- Applied Machine Learning
- Artificial Intelligence (AI)
- Biotechnology
- Bitbucket
- Clinical Research
- Computational Biology
- Computer Science
- Computer Vision
- Data Science
- Databases
- Deep Learning
- Docker
- FastAPI
- Flask
- Genomics
- Github
- Graph Databases
- Interactomics
- JIRA
- JavaScript
- Keras
- Large Language Models (LLM)
- Machine Learning
- Machine Learning Algorithms
- Medical Imaging
- MySQL
- Natural Language Processing (NLP)
- Neural Networks
- OpenCV
- PostgreSQL
- Protein-protein Interactions
- Proteomics
- PyTorch
- Python
- R
- SciPy
- Scikit-Learn
- Systems Biology
- Target Identification
- TensorFlow
Daniel Park Summary
- Daniel Park, based in Los Angeles, CA, US, is currently a Machine Learning Engineer at VoxelCloud. Daniel Park brings experience from previous roles at Biogen, Massachusetts Institute of Technology and UCLA. Daniel Park holds a 2008 - 2013 MS in Computational and Systems Biology PhD program @ Massachusetts Institute of Technology. With a robust skill set that includes AWS, Agile Methodologies, Algorithm Design, Amazon Web Services (AWS), Apache Airflow and more.
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