Mansi: Bridging Math, Art, and Mentorship in Academia

At first glance, Mansi Sood is the epitome of an MIT researcher—deeply engaged in mathematical modeling, computational methods, and decision-making frameworks. But as soon as she starts talking, her passion for mentorship, teaching, and even watercolor painting emerges just as strongly as her love for data.

Mansi, a postdoctoral researcher at MIT’s Laboratory for Information and Decision Systems (LIDS) and a Schmidt Science Fellow, welcomed me warmly. Wearing a pink button-up sweater and hexagon glasses, she was animated, expressive, and full of energy. Her words carried the confidence of someone who had traveled a long way—both geographically and intellectually—to reach this point in her career.

Curious about other women in STEM?

I spoke to several of them. It's worth listening to what they have to say.

Check it out

mansi sood

From India to MIT: An Academic Journey in Networks and Decision-Making

Mansi’s academic path started in India, where she completed her undergraduate and master's degrees at the Indian Institute of Technology (IIT).

"I was always drawn to math-heavy problems, particularly in electrical engineering, signal processing, and probability," she explained.

But her focus quickly shifted toward network models—mathematical frameworks that help analyze complex systems like social media platforms, biological networks, or even economic structures.

For her PhD, she moved to the U.S. to Carnegie Mellon University (CMU), where she specialized in applying network theory to real-world problems.

"Networks are everywhere—whether it’s people interacting on social media or cells responding to a medical treatment," she said enthusiastically. "My PhD focused on understanding these interactions mathematically and optimizing decision-making processes."

It was during this time that she applied for the Schmidt Science Fellowship, a prestigious postdoctoral program that allows researchers to work anywhere in the world.

"When I got the fellowship, I had the freedom to choose where I wanted to go next. I had considered a few schools, but when I visited MIT and met with Professor Devavrat Shah and the team at LIDS, it felt like the right fit."

Now, at MIT, her work models the complexity, interdependency, and uncertainty inherent in evolving socio-technical systems, raising fundamental questions for stochastic modeling, network design, and inference.

The Role of Mentorship: "I Wouldn’t Be Here Without My Teachers"

One of the biggest influences in Mansi’s career has been her mentors and professors—a fact she credits as the main reason she remains in academia.

"I had so many incredible mentors, who encouraged me at every stage," she reflected. "I wouldn’t be here without them."

That influence has driven her love for teaching and mentorship.

"One of the best parts of academia is being able to guide younger students. It’s not just about technical knowledge—it’s about encouragement, confidence, and learning how to navigate research."

During her time at CMU, she actively participated in teaching programs, designed new curricula, and even mentored undergraduate and master’s students.

As a mentor, it’s inspiring to help students shape their growth as thinkers and communicators, guiding them as they turn ideas into research that can meaningfully contribute to society,” she said, beaming.

Even at MIT, she continues to attend lectures and engage in mentoring students, even though she’s still settling into her new role.

Adjusting to Life in the U.S.: Distance, Independence, and Growth

Moving from India to the U.S. was not just an academic shift—it was a personal one.

"The hardest part was being far from family. In India, everything was structured—meals, schedules, community support. Here, suddenly, I had to manage everything on my own."

The physical distance—a 25-hour flight from home—was daunting. But the freedom to explore diverse fields at CMU helped her adjust.

"One thing I loved about CMU was the ability to take classes across disciplines," she said. "I was in the business school one semester, then taking design courses, then back in math. That kind of academic freedom really shaped my approach to research."

Now at MIT, she finds herself in another uniquely interdisciplinary environment.

"MIT has so many departments—statistics, economics, management, applied math—all working on connected problems. The density of research here is incredible."

From Pure Math to Applied Decision-Making

Despite her love for math, Mansi is not content with theory alone.

"I like math that has a real-world impact," she said. "If I see a problem where existing computational methods aren’t enough, I want to build new tools to solve it."

Her postdoctoral work is focused on information systems, which means studying how people and computers make decisions in a world that is more connected than ever.

Today, the amount of information we create is huge, and different parts of our world are linked in complicated ways. Because computers can only handle so much data at once, her research looks at how to use patterns and structure in the data to make faster and more reliable decisions on a large scale.

For example, the same ideas can help improve recommendation systems—like those that suggest which videos to watch on YouTube or which product to buy on Amazon—so that the decisions they make are smarter and more trustworthy.

"It’s about using computation to make better choices in high-stakes environments—whether that’s in science, policy, or even social media moderation."

The Intersection of Art and Science

One of the most unexpected aspects of Mansi’s life is her love for watercolor painting.

"I’ve been painting for as long as I can remember," she said, smiling. "Even during my PhD, I would teach art classes and participate in exhibitions."

For her, art is not just a hobby—it’s a way to process emotions, express ideas, and even improve her research.

"Art teaches you how to communicate visually. That skill is incredibly useful in research—especially when you’re dealing with abstract mathematical models."

She has also started exploring ways to bridge the gap between artists and scientists.

"Artists working with traditional crafts have generational knowledge about materials, sustainability, and processes. Scientists have data and modern techniques. If we connect those two worlds, we could create innovative, sustainable solutions."

She recently completed an artist residency focused on connecting science and art and hopes to build more interdisciplinary collaborations in the future.

Advice for Students: "Keep Your Interests Alive"

As we wrapped up, I asked Mansi what advice she would give to students exploring research careers.

Follow curiosity, not just trends. "Don't choose a field just because it's hot right now. Pick something that genuinely excites you, because research takes long-term passion."
Find good mentors. "Academia is tough, and the right mentors can make all the difference. Find people who believe in you and stay connected with them."
Stay interdisciplinary. "Some of the best discoveries happen when you combine fields—whether that’s math and biology, or science and art."
Don’t sacrifice what makes you unique. "I always loved painting, and I never gave it up. Whatever makes you feel like yourself—keep doing it."
Embrace uncertainty. "You don’t have to know exactly where you’re going. Just take small steps in the right direction, and you’ll figure it out along the way."

Final Thoughts: A Life Beyond Labels

Mansi’s journey is a testament to the power of interdisciplinary learning, resilience, and the importance of mentorship.

She is a mathematician, a researcher, an artist, a teacher—and refuses to be confined to just one identity.

As I left MIT’s LIDS lab, I couldn’t help but feel inspired by her approach—one that values both analytical rigor and creative expression, both structured research and free exploration.

In academia and beyond, Mansi Sood is proving that science and art, structure and creativity, can thrive together.