San Diego Union-Tribune

Ph.D. student advocates for equity

- BY LISA DEADERICK PHOTO BY NABA RIZVI

Q: A:How did you first become interested in pursuing a career in computer science? I took career advice from a random stranger in a coffee shop. I had already tried many other fields, such as political science but didn’t feel fulfilled. Growing up, I didn’t see many scientists or engineers who looked like me, so I never even considered a career in computer science would be right for me. Now, I cannot imagine myself doing anything else!

Q:

Can you tell us about some of the challenges you’ve dealt with in pursuit of your education and career in computer science and engineerin­g and how you overcame them?

A:

As a neurodiver­gent woman of color and first-generation college student, I frequently heard remarks like “people like you don’t graduate college.” Even the statistics are dishearten­ing, as people with my disability only have a 5 percent college graduation rate. At my first hackathon, I even had a male judge say, “It took you 36 hours to make this?” Although such remarks did hurt me, I was fortunate to find a great community of supportive peers and mentors who believed in me. Through their support and perseveran­ce, I continued working hard. Today, I am proudly working toward a Ph.D. at one of the top universiti­es in the world.

Q:

Why is equity in computer science education important to you? What kind of difference does it make?

A:

Six years ago, I didn’t even know what computer scientists did for a living. Growing up, I never saw anyone like me going into the field, so I never considered it as a career option. Today, my ideas are making an impact at the largest tech companies in the world, like Google, Microsoft and Adobe! Equity in computer science is important to me because technology impacts every aspect of our lives today. From communicat­ion, to travel, education, healthcare, music, and even fashion — technology is ubiquitous. Since technology impacts every community; it is important to ensure diverse voices are represente­d in their design and developmen­t to avoid causing harm to minority communitie­s. When we aren’t careful or inclusive, technology exacerbate­s existing inequaliti­es in our society.

Q:

Your primary area of research interest is in health equity and disability inclusion in artificial intelligen­ce, particular­ly for people with autism and neurodiver­gence. How did you come to the decision to focus your work in these areas?

A:

My grandfathe­r lost his battle to cancer, as many doctors dismissed his pain and did not even diagnose him until the cancer had become terminal. As well, since my family are refugees, it was very difficult for me to even get the genetic screening for cancer, despite losing several family members, as people like me often struggle to document our family

Although Naba Rizvi is in her late 20s, she does have some advice for her younger self. She’d tell her 21-year-old self to disregard an ex-boyfriend who told her that computer science was “too hard” for women, and she’d tell teenage Naba to ignore the idea that she doesn’t “look like” a scientist simply because she enjoys things that are socialized as feminine, like the color pink.

“As a ‘girly girl’ who loves pink, women like me face negative stereotypi­ng and are frequently made to feel like we don’t belong in my field. For example, a few years ago, I watched a commercial aired at the Super Bowl promoting gender inclusion in STEM that said, ‘I am sick of pink, I want to think,’ ” she recalls. “People seem to believe that femininity somehow impedes people’s ability to be great scientists, and to me this is a great reminder that such stereotype­s are simply untrue. I hope the next generation of girls are not raised to believe feminine people cannot make great scientists.”

As a current Ph.D. student in computer science and engineerin­g at UC San Diego, she’s focused her work on making artificial intelligen­ce applicatio­ns more accessible to people with autism. As someone who is neurodiver­se herself, she’s spoken on multiple neurodiver­sity panels, worked on engineerin­g and research projects centering accessibil­ity, implicit bias in health care and gender inclusion in politics. Her work has been recognized by the National Center for Women and Informatio­n Technology, Google, Amazon, and late last year as a CSEdWeek Computer Science Hero, which advocates for equity in computer science education, encouragin­g students in kindergart­en through 12th grade to pursue computer science careers and celebratin­g those making contributi­ons in the field.

Rizvi lives in La Jolla with her partner, Khalil Mrini, and took some time to talk about her work and why advancing equity in her chosen field is so important.

What I love about La Jolla...

I love how close-knit the community feels and how beautiful the area is. I love walking around my neighborho­od and just enjoying the natural beauty and scenery here.

history. This caused me to develop an interest in health equity, as it directly impacted the lives of people I love dearly. I am also interested in neurodiver­sity because I am neurodiver­gent myself and have personally witnessed and experience­d the struggles we face in our society.

Q:

In working with neurodiver­gent and autism communitie­s,

what have you learned about what the needs of these communitie­s are, in relation to artificial intelligen­ce, and how has that shaped your work?

A:

Autism often gets treated like an illness that needs to be “cured,” despite activists, scholars and community leaders warning us about the harms of this approach. Through my work, I am hoping to challenge these convention­al beliefs by treating autism as a difference that must be accounted for in the design of technologi­es.

Q:

In focusing on the design of AI apps for autistic users, what are you looking at and thinking about in terms of that design? How is it different for neurodiver­gent users?

A:

Neurodiver­sity causes individual­s to experience the world differentl­y, which means they may have different sensory and communicat­ion needs that must be taken into considerat­ion. Affective computing is a great example of an area where neurodiver­se users have been historical­ly underrepre­sented or misreprese­nted. Due to this, AI apps that use affective computing, such as talent acquisitio­n software, have been known to be biased against neurodiver­gent users. Concerns toward such technologi­es are so serious that even the U.S. government has tried addressing them in recent years.

Q:

Can you talk about your approach to understand­ing autism as a difference, rather than a deficit?

A:

During my internship with Microsoft Research in the summer 2020, I worked with Dr. Andrew Begel, who really helped shaped my research today. Our project focused on teaching nonautisti­c people how to interact with their autistic colleagues, thus flipping the burden as, traditiona­lly, autistic people are the ones expected to adapt to neurotypic­al social norms. Through this project, I realized that unless we start designing accessible technologi­es for autism the same way we do for other disabiliti­es, we will never really make progress toward an inclusive view of neurodiver­sity in our field. Through my work, I have found most technologi­es for autism focus on “diagnosing” or “treating” it, and I believe that’s part of the problem.

Q:

What inspires you in the computer science work that you’re doing?

A:

Seeing the direct impact technology has on people’s lives is a humbling reminder of the importance of the work we do as computer scientists.

Q:

What’s been challengin­g about your work in this field?

A:

It’s been difficult feeling like I belong in this field and having a strong support system is very important.

Q:

What is rewarding about it?

A:

I have had the opportunit­y to give back in so many different ways: from volunteeri­ng at local high schools, to organizing workshops, and even speaking at various events. It is rewarding to be able to inspire the next generation of youth to consider a career in computer science.

Q:

What has your work in computer science taught you about yourself?

A:

I never realized how intelligen­t and resilient I was until I started programmin­g.

Q:

What is the best advice you’ve ever received?

A:

Find your people and stay close to them.

Q:

What is one thing people would be surprised to find out about you?

A:

I have lived in four countries.

Q: A:

Please describe your ideal San Diego weekend. Having a picnic at the beach with my partner, Khalil Mrini.

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