Career Profile
I am a Ph.D. candidate in Computer Science at the University of New Mexico (UNM), expected to graduate in the fall of 2023. I earned an MS in Computer Science from UNM in 2021. I received my Master’s and Bachelor’s Degrees in Computer Science and Engineering from the University of Dhaka, Bangladesh.
I am working as a Research Assistant under the supervision of Professor Melanie Moses at Moses Biological Computational lab. My research primarily focuses on using computational tools to understand complex biological systems, with a particular emphasis on applying information theory-based frameworks to large-scale image datasets. My work has the potential to make significant contributions to the understanding of a variety of biological phenomena, including the immune response to infections like SARS-CoV-2.
My research interests include: 1) Computational Biology 2) Information Theory Frameworks 3) Modeling Complex Systems 4) Data Science 5) Image Analysis 6) Scientific and Information Visualization 7) Machine Learning for Images
RECENT NEWS:
- Actively looking for full time research positions.
- Summer intern at Lawrence Berkeley National Lab, Computer Languages and System Software Team. [June 2023 - August 2023]
- Received UNM School of Engineering Outstanding Graduate Student Award from Computer Science Department [May 2023]
- BDA extended abstract got accepted [May 2023]
- Presented a research talk and poster on my ongoing work at 18th Annual Computer Science Student Conference 2023 at UNM. [April 2023]
- Submitted an extended abstract at 9th workshop on Biological Distributed Algorithms (BDA) for GiAnt Project [April 2023]
- Got accepted in Sustainable Research Pathways Program to work in Summer 2023 at Berkeley Lab under Exascale Computing Project.[February 2023]
- Attended ECP Annual Meeting 2023 in Houston and presented a poster on my summer work with SRP 2022 program at Berkeley Lab. [January 2023]
Experiences
- Use computer modeling, statistical tools, and simulations to analyze and comprehend complex biological systems scenarios such as spatial association, cell motility, signaling, search behaviors, and localization.
- Develop information theory-based frameworks that enable the analysis and identification of spatial and temporal relationships within large-scale image datasets.
- Intern at Computer Languages and Systems Software Group.
- Topic: Analyzing T-Cell Behavior for Immune Response in SARS-CoV-2 Patients using CT Scans and SIMCoV Model
- Research fellowship at Data Science at Scale Summer School Program.
- Developed an information-theoretic analysis framework that works on multivariate time-varying Cinema databases and performs automatic identification of salient regions.
- Data Structure and Algorithm I (CS 262)- Course Instructor: Dr. Shuang Luan. (Fall 2016)
- Data Structure and Algorithm II (CS 362)- Course Instructor: Dr. Thomas Hayes. (Spring 2017)
- Responsibilities: Grading homework and exam scripts, holding office hours to assist students with coursework, and proctoring exams.
- Courses: Structured and Object-Oriented Programming, Theory of Computation, Software Engineering