Valeriia Cherepanova

Valeriia Cherepanova

PhD Student in Applied Math

University of Maryland

Biography

I am a PhD student in Applied Mathematics at the University of Maryland advised by Prof. Tom Goldstein and I am interested in building machine learning solutions for practical applications.

My PhD research focuses on various topics in machine learning ranging from fairness and robustness of face recognition systems to tabular deep learning. I did two internships at Amazon, in 2021 I developed NLP solution to monitor integrity and transparency of third-party Alexa Skills at Alexa Monitoring team and in 2022 I worked on improving Alexa Voice Search on FireTV at Alexa Entertainment team.

Prior to my PhD I received bachelor’s degree in mathematics from Higher School of Economics (Moscow) and master’s degree in computational biology from University College London (London).

Education

  • PhD in Applied Mathematics, 2023

    University of Maryland

  • MSc in Computational Biology, 2018

    University College London

  • BSc in Mathematics, 2017

    Higher School of Economics

Experience

 
 
 
 
 

Applied Scientist Intern

Amazon

May 2022 – Aug 2022 Seattle
Developed Machine Learning solutions for improving Alexa Voice Search on FireTV.
 
 
 
 
 

Applied Scientist Intern

Amazon

Jun 2021 – Aug 2021 Seattle
Developed NLP solutions to monitor integrity and transparency of 3P Alexa Skills.
 
 
 
 
 

Graduate Research Assistant

University of Maryland

May 2020 – Present Maryland
Work on various research projects in Deep Learning.
 
 
 
 
 

Data Analysis Intern

Teradata

Jul 2016 – Oct 2016 Moscow
Worked on educational project in Machine Learning.

Contact

  • 301 401 04 54
  • 4176 Campus Drive - Kirwan Hall, College Park, MD 20740
  • Office 4204