About Me
We have open positions for Applied Scientist Intern! Please contact me if you are interested in working on LLM for ranking!
Dr. Jiri Gesi (Гиллигс in Mongolian, 吉日格斯 in Chinese) is an Applied Scientist in Amazon Science. He got his Ph.D. from Donald Bren School, University of California, Irvine. Before joining UC Irvine, he was a Machine Learning Engineer at Ford, USA.
He specializes in mining data and leveraging machine learning techniques to design and build machine learning systems. He has experience in outlier detection, classification, recurrent neural networks, graph neural networks and etc.
His research focuses on the interaction of two fields:
- Machine learning systems can be used to automatically identify underlying patterns in sequential data, such as programming and natural language.
- Software engineering tasks that can help programmers use fewer resources to develop higher-quality software
At UC Irvine, he was working with Prof. Iftekhar Ahmed at STAIRS Lab on leveraging natural language proccessing techniques to improve the understanding of programming languages by AI models.
News
- 09/2023 📢 Jiri joined Amazon A9 (Search Science and AI) as an Applied Scientist
- 12/2022 📢 Our paper “Leveraging Feature Bias for Scalable Misprediction Explanation of Machine Learning Models” is accepted in ICSE 2023
- 06/2022 📢 Jiri interned at Amazon A9 (Search Science and AI) as an Applied Scientist Intern
- 01/2022 📢 Jiri got PhD research fellowship funding from eBay for 2022
- 12/2021 📢 Jiri advances to Ph.D. candidate at the school of Information and Computer Science, UC Irvine
- 04/2021 📢 Our paper “An Empirical Examination of the Impact of Bias on Just-in-time Defect Prediction” is accepted in ESEM 2021
- 03/2021 📢 Our paper “Evaluating and Improving Static Analysis Tools Via Differential Mutation Analysis” is accepted in QRS 2021
- 01/2021 📢 Jiri got PhD research fellowship funding from eBay for 2021
- 09/2019 📢 Jiri is awarded 2019 Chair’s Award from Donald Bren School of Information and Computer Sciences Department
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