Andrey Shternshis
Postdoctoral position at Department of Information Technology; Division of Scientific Computing
- Telephone:
- +46 18 471 57 62
- E-mail:
- andrey.shternshis@it.uu.se
- Visiting address:
- Hus 10, Lägerhyddsvägen 1
- Postal address:
- Box 337
751 05 UPPSALA
- ORCID:
- 0000-0002-9299-369X
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Short presentation
Postdoc at the division of Scientific Computing, a member of Machine learning research group at the Uppsala University and Quantitative Finance research group at the Scuola Normale Superiore (Italy).
My background is in applied mathematics and computer science and my PhD is in Computational Methods and Mathematical Models for Sciences and Finance. The PhD thesis title is "Shannon entropy and high frequency financial time series".
Keywords
- compositional data
- fair machine learning
- financial time series
- mathematical statistics
- shannon entropy
Research
The domain of my research projects is statistical and machine learning approaches applied to real-life problems with biased data. This area covers several types of data characteristics and data quality including missingness, data imbalance and historical bias.
The list of my publications is available at google scholar
Publications
Recent publications
- Price predictability at ultra-high frequency (2025)
- Variance of entropy for testing time-varying regimes with an application to meme stocks (2024)