About

Hi. My name is Eram Kabir. I am currently a Master’s Student (M.S.) at Stony Brook University, majoring in Biomedical Engineering, with a Modeling/Quantitative Biology specialization. I learned a lot about my major during my time at Stony Brook, due to the renowned Professors there and the various research opportunities presented to me. I have a passion for coding, and aspire to use it to learn about the various phenomena of life as much as possible. Before becoming a Master’s student, I was an undergraduate at Stony Brook, majoring in Biomedical Engineering (B.E.), who was excited to learn about the different subject areas present in my major.

I originally did research for the Bioengineering, Education, Application, and Research (B.E.A.R.) group during my undergraduate studies at Stony Brook University (Bachelor of Engineering, Biomedical Engineering major). This was during the Fall 2019-Spring 2020 year. I worked on lab simulations during the Fall Semester of that time, in order to build virtual environments for students and teachers to practice or do simulated research on, depending on whether they needed practice before entering an actual lab or if they needed to do research but they had no access to their lab. I also worked for the group in coming up with ideas for Covid-19 testing, which was when the virus had just come out in Spring 2020, and it was a serious topic of discussion. This Covid-19 testing research replaced my Lab Simulation research, as it was originally intended for me to continue my Lab Simulation research beforehand, but since Covid-19 was a major issue at the time, I was diverted to helping find testing methods for Covid-19. As a result, I did research for Lab Simulations in Fall 2019 and did research for Covid-19 testing methods in Spring 2020.

I am currently doing research at Professor Balazsi’s lab. The majority of research in said lab is utilizing gene circuits for better understanding of evolution and development of cellular organisms. The lab also specializes in understanding disease behavior more thoroughly. Generally, I am currently working there to better understand the mechanisms of mycobacterium tuberculosis (the bacterium that causes tuberculosis), and how its genes and proteins help it to regulate its environment in a host and evade medical treatment. Specifically, I am looking into VapBC35, a particular toxin-antitoxin system of the bacterium, as well as the TetR-family repressor for it, Mce3R, in order to see where they bind to in relation to the bacterium. Finding where both assets bind to would help better understand how they regulate the bacteria’s environment and treatment-evasion as well as bring everyone one step closer to having an adequate treatment for tuberculosis.

Resume

Here is my Resume. Feel free to view it.

Relevant Projects

Graduate Research Assistant, Stony Brook University

  • Was tasked with finding the locations of toxin-antitoxin systems (TAS) of mycobacterium tuberculosis (Mtb)
  • Used bioinformatic tool M.E.M.E and Mycobrowser database to find the binding sites of the Mtb TAS VapBC35
  • Accurately and efficiently detected a single major genomic region candidate for toxin system binding in Mtb

Image Processing, Stony Brook University

  • Was tasked with developing an algorithm to visualize biological cells
  • Used Scikit-learn and Scipy Python libraries to create algorithm, utilized Matplotlib to visualize results
  • Created an algorithm that successfully detects individual cells

Research Assistant, Stony Brook University

  • Coordinated with P.I. and research team to develop virtual laboratories
  • Wrote Json code and developed three dimensional models in Blender to emulate a laboratory setting
  • Paid attention to detail on objects made, and successfully emulated a person making buffer solution in a lab

Data Science with Python, Stony Brook University

  • Was tasked with developing a machine learning model in a Python course in order to detect facial expressions
  • Utilized Python’s SKL library to determine 6 types of facial expressions (happy, sad, etc.) for 26,859 images
  • Achieved 96% accuracy with a Random Forest Classifier model and displayed results using matplotlib

Senior Design Project, Stony Brook University

  • Was tasked with developing a temperature sensor for a research lab at Stony Brook
  • Wrote CircuitPython code to be used on a printed circuit board (PCB) to make a temperature sensor
  • Successfully and accurately detected environmental temperature data to the nearest degree using the PCB

Viral System Analysis, Stony Brook University

  • Was tasked with computationally analyzing and visualizing activation of lambda phage viruses
  • Used MATLAB to emulate Gillespie’s algorithm with lambda phage parameters for behavior analysis
  • Accurately emulated and visualized the lytic and lysogenic states of the lambda phage

Work Experience

Orlin and Cohen | Data Entry Specialist

  • Worked in a clinical office setting where patient data had to be put in an electronic health records database
  • Extracted and stored patient data provided by patients to an electronic health records database
  • Successfully and quickly filed all patient data without making a single mistake

Administrative Assistant | Farmingdale State College

  • Worked in an office setting where employee personnel files had to be maintained and updated every week
  • Used Microsoft Word and Excel to maintain and organize all employee personnel files
  • Accurately and quickly maintained all employee personnel files every day and on time