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Anastassia Kornilova

Director of Machine Learning at Trustible

Anastassia Kornilova is a prominent figure in the field of Machine Learning, currently serving as the Director of Machine Learning and Founding Engineer at Trustible AI, a pioneering platform dedicated to Responsible AI Governance.

At Trustible AI, she leads research initiatives into the advantages and pitfalls of AI technologies, providing valuable insights to companies to navigate the evolving landscape of AI regulations effectively.

Anastassia's expertise extends to working on expansive Machine Learning systems spanning various industries, with a specialization in Legal NLP, showcasing her diverse skill set and domain knowledge.

She obtained her Bachelor's Degree in Computer Science from the prestigious Carnegie Mellon University, recognized for its excellence in technology and innovation.

Her academic journey commenced at Thomas Jefferson High School for Science and Technology, reflecting her early passion and commitment to the realm of science and technology.

Anastassia's professional journey includes noteworthy roles such as Director of Machine Learning Engineering at Trustible, Machine Learning Solutions Engineer at Snorkel AI, and Research Scientist & Data Scientist at FiscalNote.

Furthermore, she has contributed to the academic sphere as a Teaching Assistant for 15-424 at Carnegie Mellon, demonstrating her dedication to knowledge sharing and mentorship.

Her professional experiences also encompass enriching stints as a Data Science Intern at Khan Academy, Pintern at Pinterest, and Software Engineering Intern at Square, illustrating her versatility and adaptability across diverse environments.

Anastassia Kornilova
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Location

Washington, District of Columbia, United States