UC computer science engineer works to improve AI explainability – University of Cincinnati

The personal and professional growth I have experienced during my time at UC has been remarkable. One achievement I'm proud of is my research project on developing provenance-based solutions for explainable machine learning models. I have presented this work at prestigious conferences like the Institute of Electrical and Electronics Engineers International Conference on Data Engineering, American Association for the Advancement of Science Annual Meeting, and the Greater Chicago Area Systems Research Workshop.

In addition, I have had the honor of contributing to the scholarly community by serving as a program committee member and a reviewer on the research paper track for various conferences.

I take great pride in my contributions to professional organizations in science and engineering such as the Institute of Electrical and Electronics Engineers. Currently, I am serving a two-year leadership commitment on the Society of Women Engineers' national organization and was honored to speak at two panel sessions dedicated to advancing graduate engineering at the 2023 conference.

Equally fulfilling has been my role in nurturing the next generation of scientists and engineers. I served as a mentor for the UC McNair Scholars, the Society of Women Engineers'"Invent It, Build It" program for K-12 students, and as a judge at events such as the Ohio Academy of Science District Science Day and State Science Day. I was also a counselor at various CEAS summer camps and a professional reviewer of research posters at the 2023 UC Undergraduate Scholarly Showcase.

Reflecting on my journey, I am grateful for the consistency and excellence that have marked my experience. Earning my master's degree in 2023 from UC was a significant milestone towards completing my doctorate. I am also honored by the accolades I have received, including being named Graduate Student Engineer of the Month, and receiving the 2023 Cadence Diversity in Technology Scholarship Award.

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UC computer science engineer works to improve AI explainability - University of Cincinnati

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