Month: February 2022

Sanchita Chakraborty

Sanchita Chakraborty

Born in Bolpur, West Bengal, India • Birth year 1999 Studies Mathematics at Purdue University in West Lafayette, Indiana, USA • Highest Degree ongoing Bachelors of Science • Lives in West Lafayette, Indiana, USA • Occupation Student Researcher and Undergraduate Student

I always loved how neat math was. No matter the problem, the answers seem to come with a simple number. After taking partial differential equations and numerical analysis courses, it seems so silly now, the subject is anything but “neat”. It is complex, chaotic, and elegant, but what I have come to appreciate is its beauty, its ability to explain the world around us.

When I imagined a mathematician, I thought of an old man sitting in a flickering candle-lit room with melted wax and papers strewn around on an old wooden table. What did that really mean in the era of supercomputers, high-speed trains, planes and rockets?

As a child, I never really thought of being a mathematician as a job to pursue. I mean, to be fair the greats that I knew of only existed in Ancient Greece or Rome. When I imagined a mathematician, I thought of an old man sitting in a flickering candle-lit room with melted wax and papers strewn around on an old wooden table. What did that really mean in the era of supercomputers, high-speed trains, planes and rockets?

[..], I took the route of role models like Howard Wolowitz from the Big Bang Theory and Dr. Amelia Brand from Interstellar, and chose a degree in Aerospace Engineering.

So, when I had to choose a degree to study, I took the route of role models like Howard Wolowitz from the Big Bang Theory and Dr. Amelia Brand from Interstellar, and chose a degree in Aerospace Engineering. When I entered, I was excited by the engaging new problems I would learn to solve – whether it was in understanding rocket propulsion or in the use of orbital mechanics within navigation. However, instead I became bogged down with solving mundane structures and material problems. Moving into my sophomore year, classes did become more interesting with my first fluids and orbital courses. Every time I stepped into an engineering classroom, I felt a sense of excitement in understanding the fundamental equations, rather than the applications to real-world problems.

While I had once run away from engineering, I found myself right back to where I began, but instead I was in the role of a mathematician.

I reflected on my prior math courses, thinking about how I would apply these geometric properties and analysis techniques to problems that I had been introduced to in my aerospace courses. I knew it was time for a change, so I switched gears to classes like complex analysis, partial differential equations, and introduction to proofs. I was hooked. Around the same time, I had my first laboratory experience in mathematics. I spent the summer working on neural networks to reduce the loss from the 2D approximations to the advection-diffusion equation in transport phenomena. It was one of the hardest learning experiences, coming in with very little knowledge of Deep Learning, but the hours spent on literature reviews seemed less like work and more like unravelling my favorite mystery novel. This was the moment in which the puzzle pieces of all my interests across engineering and mathematical disciplines clicked.  So when I finished my summer project, I immediately looked for new opportunities in applied mathematics, and I was fortunate enough to find a supervisor in the Electrical and Computer Engineering department to work on Finite Element Methods and the Schrödinger equation. While I had once run away from engineering, I found myself right back to where I began, but instead I was in the role of a mathematician. My supervisor has helped me find confidence in my abilities and given me the opportunity to take lead on my first project, and is the reason I have found the confidence to apply to applied math MS/PhD programs for fall 2022.

I had women like Katherine Johnson to look up to, but she was merely a role model, not an individual I could tangibly connect to.

While I have been undoubtedly lucky to be surrounded by amazing mentors, the lack of women mathematicians and engineers did not go unnoticed. I found my experiences to be hardly unique. When talking to a good friend in the math department, I found that she too had been the only woman in her math classes. In four years, I had only had one woman math professor and one woman graduate student that supervised my research. In my graduate and advanced courses, I was one of two or maybe three women students. The world had long moved away from the old man in the candle-lit room, but the representation of women in the industry was grossly underdeveloped. Looking at research faculty in the graduate programs I applied to, I found the representation to be quite similar. I had women like Katherine Johnson to look up to, but she was merely a role model, not an individual I could tangibly connect to. She seemed just as far remote as the Greek greats.

Inequality seems to be quite an abstract notion and equality just an idealized concept, existing only in philosophical treatises. To encourage more women to pursue a career in academia and research, we must begin by creating real mentor-mentee relationships that go far beyond the professional. Only through this tangible bond can we expect to see true equality in every field, including this complex and elegant language we hold so close and I sincerely hope that one day the word mathematician comes with an image of a woman and a man working side by side in a world intertwined with modern technology.

Posted by HMS in Stories
Elena Tartaglia

Elena Tartaglia

Born in Melbourne, Australia • Studied Applied Mathematics at the University of Melbourne in Australia • Highest Degree Doctor of Philosophy in Mathematical Physics • Lives in Melbourne, Australia • Occupation Research Scientist

I discovered my love of maths in high school when we started learning algebra. I had never been particularly adept at arithmetic or memorising times tables, but algebra was fun. It was about learning logical rules and applying them, step by step, to solve a problem that seemed impossible from the outset. My maths career so far has taken me from applied maths to mathematical physics to statistics and data science. Though the technical areas have been different, the pattern of understanding fundamental rules to break down big problems has remained.

I followed my heart all the way to a PhD in mathematical physics where I discovered the beauty of diagrammatic algebras: equations made out of squiggly diagrams.

My decision to pursue a career in maths came during my second year of university. I had been studying engineering, which I believed to be a more stable career choice, but after a year and a half I couldn’t get excited about any of the engineering specialisations. My Mum encouraged me to follow my heart and study mathematics: study what you love and you’ll figure out the work later, she advised. I followed my heart all the way to a PhD in mathematical physics where I discovered the beauty of diagrammatic algebras: equations made out of squiggly diagrams.

After a two-year postdoc in Italy, I decided to make the switch from academia to follow a career in data science. I had avoided any statistics and probability in my university studies, because they were not topics I enjoyed in high school, but I soon learned how interesting randomness is and how useful it is for understanding the world. I was lucky enough to land a dream job at Data61, the data analytics unit of CSIRO, Australia’s national science agency. Since then I have been working on industry projects, solving applied problems in the areas of manufacturing, wildfires and public policy with statistics and machine learning. I love that even after this career change, I can still use my mathematical thinking to break problems down into their essential ingredients and solve them step by step.

Reflecting on my path from education to employment, I have learnt that careers don’t have to follow a clear and straight path.

Reflecting on my path from education to employment, I have learnt that careers don’t have to follow a clear and straight path. I have learnt that following your dreams can be a good option, but it isn’t the only one, and that trying out adjacent areas of work that are in-demand can lead to a fulfilling occupation. I have also learnt that an important output of your studies is the ability to teach yourself new skills, because flexibility is a valuable skill in the workforce – plus learning new skills keeps your work interesting.

Posted by HMS in Stories