Alesia Chernikova

Education

• BS in Applied Mathematics and Computer Science, Belarusian State University – Belarus

Biography

Alesia Chernikova is a doctoral student at the Khoury College of Computer Sciences at Northeastern University, advised by Cristina Nita-Rotaru and Alina Oprea. Alesia’s research is focused on building machine learning algorithms that are resilient to adversarial manipulation. She became interested in data science and machine learning algorithms while working on a research project where she designed clustering algorithms to rank national enterprises during her undergraduate studies. Later, Alesia chose to expand and apply her knowledge in the sphere of adversarial machine learning, where she can build algorithms that are resilient against adversarial perturbation.

In the future, Alesia would like to create a defense algorithm that is robust to a wide range of attacks while remaining rigorous and precise about the type of security guarantee it provides. After receiving her doctorate, she would like to begin a career in industry research.