# Volodymyr Kuleshov

> Ukrainian-American artificial intelligence researcher

**Wikidata**: [Q133208195](https://www.wikidata.org/wiki/Q133208195)  
**Source**: https://4ort.xyz/entity/volodymyr-kuleshov

## Summary
Volodymyr Kuleshov is a Ukrainian-American artificial intelligence researcher and assistant professor at Cornell Tech. He is known for his work in machine learning, computational biology, and health informatics, with notable contributions to deep learning in healthcare and genomics.

## Biography
- Born: Not specified
- Nationality: Ukrainian-American
- Education: Bachelor of Science in Mathematics and Computer Science from McGill University (2011); Doctor of Philosophy in Computer Science from Stanford University (2017)
- Known for: Research in machine learning, computational biology, and health informatics
- Employer(s): Cornell University (assistant professor), Cornell Tech (assistant professor), Stanford University (postdoctoral researcher)
- Field(s): Machine learning, computational biology, health informatics, computer science, genomics, DNA sequencing, large language models

## Contributions
Volodymyr Kuleshov has made significant contributions to artificial intelligence and computational biology. His research focuses on developing machine learning methods for healthcare applications, including deep learning in healthcare and whole-genome haplotyping using long reads and statistical methods. He has published influential papers on topics such as diffusion models, pharmacogenomics, and genome-wide association studies. Kuleshov's work bridges the gap between theoretical machine learning and practical applications in biology and medicine, advancing the field of computational biology through innovative algorithmic approaches.

## FAQs
### Q: What is Volodymyr Kuleshov's primary research focus?
A: Volodymyr Kuleshov focuses on machine learning, computational biology, and health informatics, particularly developing AI methods for healthcare applications and genomic analysis.

### Q: Where does Volodymyr Kuleshov currently work?
A: Volodymyr Kuleshov is an assistant professor at Cornell University and Cornell Tech in New York City.

### Q: What are some of Volodymyr Kuleshov's notable publications?
A: His notable works include "A guide to deep learning in healthcare" and "Whole-genome haplotyping using long reads and statistical methods."

## Why They Matter
Volodymyr Kuleshov's research has significantly advanced the application of machine learning to biological and medical problems. His work on deep learning in healthcare has helped bridge the gap between AI research and clinical applications, potentially improving diagnostic accuracy and treatment planning. By developing computational methods for genomic analysis, Kuleshov has contributed to making large-scale genetic studies more accessible and interpretable, which is crucial for advancing personalized medicine and understanding complex diseases.

## Notable For
- Assistant Professor at Cornell Tech and Cornell University
- Recipient of the NSF Faculty Early Career Development (CAREER) Award in 2022
- Published influential papers on deep learning in healthcare
- Developed computational methods for whole-genome haplotyping
- Active contributor to open-source machine learning projects

## Body
### Academic Background
Volodymyr Kuleshov completed his undergraduate studies at McGill University, earning a Bachelor of Science in Mathematics and Computer Science in 2011. He then pursued his doctoral studies at Stanford University, where he received his PhD in Computer Science in 2017. His doctoral research focused on machine learning applications in computational biology.

### Research Contributions
Kuleshov's research spans multiple areas of artificial intelligence and its applications to biology and healthcare. He has made significant contributions to:
- Machine learning algorithms for genomic data analysis
- Deep learning applications in healthcare
- Computational methods for DNA sequencing and analysis
- Development of diffusion models for biological data

### Professional Impact
As an assistant professor at Cornell Tech, Kuleshov leads research on the intersection of machine learning and computational biology. His work has been recognized with the prestigious NSF CAREER Award in 2022, supporting his research on developing new machine learning methods for healthcare applications. He maintains an active presence in the research community through publications, open-source software development, and academic collaborations.

### Publications and Recognition
Kuleshov has authored numerous peer-reviewed publications in top conferences and journals in machine learning, computational biology, and bioinformatics. His work on deep learning in healthcare has become a reference point for researchers entering the field, and his computational methods for genomic analysis have been adopted by other researchers in the field.

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## References

1. [Source](https://tech.cornell.edu/people/volodymyr-kuleshov/)
2. [Source](https://www.linkedin.com/in/volodymyr-kuleshov-6aa83294/details/education/)
3. [Source](https://www.cs.mcgill.ca/~vkules/)
4. [Source](https://www.cs.cornell.edu/~kuleshov/)
5. [Source](https://www.linkedin.com/in/volodymyr-kuleshov-6aa83294/details/experience/)
6. [Source](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2145577&HistoricalAwards=false)
7. Library of Congress Name Authority File
8. [Source](https://ai.stanford.edu/~kuleshov/)
9. [Source](https://www.facebook.com/marketplace/profile/869355136/)
10. YouTube API