Name: Nawsheen Promy
Pronouns: she/her/hers
Institution: University of New Mexico
Department: Computer Science
Biography:
Hi, I’m Nawsheen Tarannum Promy, an international student from the vibrant land of Bangladesh where I was born and raised. I completed my undergrad from department of Computer Science & Engineering from Military Institute of Science & Technology in 2017. After the completion of my undergrad, I decided to pursue my Ph.D. in the field of Computer Science which led me to the prestigious University of New Mexico in 2020. After my admission, I wanted to work in the field of computational biology, where I could combine my interests in computer science and biology. I started exploring different labs and I met Dr. Gulisija and joined her lab in 2021. My research focuses on the study the Evolution of Genetic Architecture in Heterogeneous Environments utilizing mathematical modeling, computer simulations, and data analysis. My first journal article submission, “Rapid evolution of phenotypic plasticity in patchy habitat,” is now undergoing review and currently I’m working on my second journal paper, “Evolution of recombination rates in patchy habitat.” In addition to my academic responsibilities, I’m now the President of the Computer Science Graduate Student Association (CSGSA) at UNM. I also enjoy traveling and discovering new places throughout the world.
Academic Status: PhD Student
Year in program: 4th
Research Area/Department: Biology; Computer Science; Data Science
Other, specify:
Major/Specialty: My Major is Computer Science and I specialize in developing simulation based mathematical model and analytical approximation and research focuses on Computational Biology.
Degrees Earned or in Progress: B.Sc in Computer Science & Engineering, 2017. M.Sc in Computer Science, 2023. I have completed all of the requirements for my Masters in Computer Science and am awaiting formal graduation. Ph.D in Computer Science, 2025.
What courses or academic preparation have you completed to prepare for a summer internship experience?
I have taken the following courses which helped me a lot for my preparation. Computer Science: 1.CS-561: Algorithms & Data Structure 2.CS-533: Experimental Methods in CS 3.CS-530: Geometric & Probabilistic Methods in CS 4.CS-558: Software Foundations 5.CS-580: Specifications of Software System 6.CS-585: Computer Networks 7.CS-500: Intro Theory of Computation 8.CS-564: Intro Database Management Biology: 1.BIOL-509: Computational Genetics & Evolution 2.BIOL-519: Data Science for Biology (in progress)
Have you published any research or worked on research/technical projects? Yes
Where has your research been published or where have you conducted research/technical projects? My research papers has been published in IEEE & Springer. Here is the list of my published papers. 1.Adal, H., Promy, N., Srabanti, S., Rahman, M. Android based advanced attendance vigilance system using wireless network with fusion of bio-metric fingerprint authentication, 2018 20th International Conference on Advanced Communication Technology (ICACT). (pp. 217-222). IEEE (2018) 2.Promy, N., Islam, S : A Smart Android Based Parking System to Reduce the Traffic Congestion of Dhaka City. 2019 21st International Conference on Advanced Communication Technology (ICACT). (pp. 124-128). IEEE (2019) 3.Promy, N., Rahman, T., Islam, S. and Khan, S.M., 2020, February. Automated smart box to alleviate unfair means in public examination in the context of Bangladesh. In 2020 22nd International Conference on Advanced Communication Technology (ICACT) (pp. 135-138). IEEE (2020). 4.Promy, N.T., Rawshan, P.P., Islam, M.M. and Islam, M.N., 2022. Developing a Smart System for Reducing Traffic Congestion. In Inventive Communication and Computational Technologies: Proceedings of ICICCT 2021 (pp. 669-683). Springer (2022)
Please describe your research/academic interests:
The research focuses on understanding how genetic architecture evolves in response to diverse environments. It uses a multifaceted approach that includes mathematical modeling, computer simulations, and rigorous data analysis. The research explores how genetic traits and their underlying architecture adapt over time in response to environmental variations. Mathematical models simulate the dynamic interplay between genetic variation and environmental heterogeneity, while computer simulations simulate real-world ecological conditions. This data-driven approach validates and refines the models, drawing meaningful conclusions about genetic changes in response to environmental heterogeneity. The research contributes to our understanding of genetic architecture evolution. The ultimate goal is to understand the intricate mechanisms by which organisms adapt to their changing environments, offering valuable insights into evolutionary biology principles.
Computational and Data Science Areas:
Computational Science Applications, i.e., Bioscience, Cosmology, Chemistry, Environmental Science, Nanotechnology, Climate, etc.; Computer Science
Research Synergy:
My interest in the field of computational biology and data sciences research is rooted in my potential to solve complex real-world problems and enhance scientific understanding. In addition, I conduct my research using The UNM Center for Advanced Research Computing (CARC), which is UNM’s computational research hub and one of the largest computer facilities in the State of New Mexico which gives me the opportunity work with the high-performance computers. These fields align with the research and technical areas at the (DOE) labs, creating a mutually beneficial synergy. Computational techniques offer a powerful means to model and simulate intricate systems, which is crucial for the DOE’s pursuit of innovative energy solutions and climate-related research. Also, my expertise in data analysis and visualization can contribute to the DOE’s efforts in harnessing data-driven insights to advance research objectives. I’ve also looked into some of the laboratories’ research areas and discovered that Berkeley Lab, Los Alamos National Lab, Oak Ridge National Lab, and other labs do a lot of computation-related research with an emphasis on both theoretical and applied science. I’m really excited about the opportunity to collaborate with DOE lab staff to advance research in these areas.
Motivation:
I believe that Sustainable Research Pathways (SRP) will give me with valuable hands-on experience in the field of computational science. This will allow me to apply academic knowledge to real-world situations, gain practical skills, and provide the framework for future careers. This will help me to network with industry professionals and form relationships with potential mentors, coworkers, and future employers. It will expose me to a range of professions and firms, helping me to make more educated decisions regarding my future career goals. I see this as an opportunity to widen my horizons, develop new skills, and have a deeper understanding of my academic field.
Lightning Talk Title: Rapid Evolution of Phenotypic Plasticity in Patchy Habitats