I am Meenu Krishnan, originally from the beautiful islands of Andaman and Nicobar Islands. Growing up surrounded by nature, simplicity, and a close-knit community shaped much of who I am today. I completed my schooling and Bachelor's degree in Civil Engineering there before beginning a journey that would take me across different parts of the world.

Later, I moved to Kerala to pursue my Master's degree in Structural Engineering and Construction Management at TKM College of Engineering. Those years helped me grow not only academically, but also personally. Living in Kerala brought me closer to my roots, and during that time I learned to speak my mother tongue, Malayalam.

After completing my Master's, I had the opportunity to teach undergraduate students at a private university in Kerala. That experience gave me one of the most important realizations in my life — that I truly enjoy teaching. I loved interacting with students, explaining concepts, and creating an environment where learning felt meaningful and approachable.

I later joined the Ph.D. program at Indian Institute of Technology Roorkee, another beautiful part of India surrounded by mountains and hill stations. It was the perfect place to balance intense research with peaceful escapes into nature. My Ph.D. research focused on developing computationally efficient algorithms for solving phase-field fracture problems and topology optimization for 3D printable structures, involving mesh adaptivity, automatic time stepping, parallel high-performance computing, and large-scale simulations.

Today, I am working as a Postdoctoral Research Fellow at Johns Hopkins University, where my research focuses on scientific machine learning and computational mechanics. I work on Evolutionary Deep Neural Networks (EDNN) for solving multi-physics problems. I am also actively developing large-scale datasets and benchmarking machine learning algorithms for challenging fracture mechanics problems, building reliable frameworks at the intersection of mechanics, artificial intelligence, and scientific computing.

Outside research, I enjoy drawing, reading, and spending time in peaceful environments. I may appear extroverted at first, but I have realized that my social battery drains quickly — I genuinely enjoy being around only the people I deeply connect with. I value meaningful conversations more than large crowds, and I find comfort in simple, quiet moments.