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Meet the Ph.D. students changing the face of computing

Side-by-side, black and white headshots of Ashley and Oscar placed on a background of light blue, grey, green and gold shapes.
Amber Solomon (left), Oscar S. Veliz (right)

Dhruv Jain, University of Washington (left): I will pursue a research position in an academic or industry research lab to advance "sound accessibility." With my new position, I also hope to increase participation of people from underrepresented backgrounds, especially those with disabilities.

Abel Gomez Rivera, The University of Texas at El Paso (right): Working as a scientific researcher has been my dream since I had my first research-oriented class. Applying my aptitude for research and my passion for educating future generations in an academic setting is my ideal working environment.

Elsa Tai Ramirez, The University of Texas at El Paso (left): My aspiration is to apply for a faculty position in a software engineering or computer science department. As a faculty member, I would like to continue teaching software engineering and doing research in software requirements and software architecture.

Matthew Anderson, University of California, Berkeley (right): I view technology, engineering and computing as our way of bending the arc of history, as a tool for making our lives more beautiful in any number of ways. My dream is to change the world with the technology I work on and to see all my not-so-silly childhood ideas of a science-filled future realized ... or to at least have fun working on exciting tech along the way.

Rodrigo Augusto Silva Dos Santos, The University of Texas at Arlington (left): I look forward to connecting academia and industry through joint research and development projects. This would benefit software engineering and computer science students who join these projects as researchers, allowing them to get much-needed practical experience.

Saadia Gabriel, University of Washington (right): I am passionate about socially-motivated machine learning (ML), such as algorithmic fairness. I believe that awareness of social issues leads to more responsible and better-designed ML systems. I plan to use my role as a researcher to mentor Natural Language Processing and ML students working on challenging, real-world problems.

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