Physician Scientist Student

• Aug 2023 - Present

Physician Scientist in the Interdisciplinary Neuroscience Program at Georgetown University School of Medicine. Physician Scientist in the Interdisciplinary Neuroscience Program at Georgetown University School of Medicine.

Regional Referee

• Jun 2014 - Present

Software Engineer and Data Scientist

• Jul 2021 - Jun 2023

I am working on investigating new avenues of machine learning.

Consultant

• Dec 2020 - Jul 2021

Consulted on topics regarding investigating new avenues of machine learning.

Teaching Assistant

• Aug 2019 - May 2021

I have been a teaching assistant for the following:CMSC 131 (Spring 2020) - This is the first programming course for Computer Science majors with a focus on object-oriented programming. The goal of the course is to develop skills such as program design and testing as well as the implementation of programs using a graphical IDE. All programming will be done in Java. My responsibilities included preparing material for discussion sections, grading student work, holding office hours, and tutoring students. CMSC 132 (Fall 2019, 2020) - Object-Oriented Programming II is a second programming course for Computer Science majors with a focus on object-oriented programming. The goal of the course is to develop skills such as program design and testing as well as the implementation of programs using a graphical IDE. All programming will be done in Java. My responsibilities included helping the professor create quizzes and exams, creating material for discussion sections, holding office hours, and tutoring students. CMSC 420 (Summer 2020) - Description, properties, and storage allocation functions of data structures including balanced binary trees, B-Trees, hash tables, skip lists, tries, kd-Trees and quadtrees. Algorithms for manipulating structures. Applications from areas such as string processing, computer graphics, information retrieval, computer networks, computer vision, and operating systems. My responsibilities included creating homework and test questions, grading student work, holding office hours, and regularly attending preparation meetings.FIRE173 - First level class introduction investigating deep brain research. Responsibilities included teaching students a myriad of software (Sim4Life, Freesurfer, MIDA model, 3DSlicer, NEURON, Paraview, DSI Studio, etc...), advancing the research, presentation in front of large corporations (Google, Booz Allen Hamilton etc...) and collaborating with research doctors. For description see Deep Brain Neurotechnologies. Show less

Teacher

• Jan 2019 - May 2021

I inherited the course from Ajeet Gary and worked with Devan Tamot and Dan Zou in order to further deepen the material and student experience. This course was fully run by myself and co-workers with minimal staff supervision as is the purpose of Student-Initiated Courses (STIC).This course is designed to teach how to use the most common and useful features of Wolfram Mathematica; an extremely powerful technical computing system that can be used to model a wide range of problems. Students will also learn important techniques and styles that will equip them with a profound mastery of Mathematica. Plotting functions in several ways, making models that can be manipulated in real-time by the user, and efficiently computing solutions to complicated equations are among the things we will cover. We will use these skills to model various structures in math, computer science, and physics, and for the final project, every student will pick something relative to their designated major (or interest otherwise) to model, whether that be in physics, math, engineering, economics, or anything else mathematical in nature. Over the course of learning these tools, students will encounter mind-blowing examples of what Mathematica can do, seeing first-hand that creating models that can be manipulated in real-time helps greatly in understanding the underlying symmetries and properties of a problem. Show less

Intern at the University of Maryland Deep Brain Neurotechnologies (DBN)

• Apr 2018 - Jan 2020

In this lab, we were tasked with numerous projects. One of the most significant projects that I worked on was functionalizing MIDA; this project involved learning both HOC as well as Sim4Life. In my work on this project, I became the Lead researcher top intern. Our lab also presented at the first Machine Learning in Science and Engineering Conference at Carnegie Mellon. This included two submissions: the first on diagnosing ADHD using empathy and focus and the second on diagnosing Parkinson's using handwritten data.An extensive highlight of the work produced can be found at https://github.com/VladDobrin under the DeepBrainNeurotechnologies repository. Show less

Sales Associate

• May 2020 - Aug 2020

Orangetheory Sales Associates have the important role of engaging with members of the community and inspiring them to join Orangetheory Fitness. You will combine your passion for health and fitness with your ability to chat with everyone and anyone to help build the OTF membership base. You will be the face that greets our members each day and gets them excited for the awesome workout experience. I became in house tech support fixing audio, computer, OTConnect and other technical difficulties. Show less

Researcher in Machine Learning

• May 2019 - Sep 2019

Joined the Pessoa Lab as an undergraduate interested in ML. I was tasked with building a Reservoir Computing model for FMRI data for research projects being conducted in the lab. We employ behavioral and functional MRI methods to study interactions between cognition and emotion/motivation. Our view is that brain systems are highly interactive and that modular approaches to understanding the mind-brain are fundamentally problematic. An additional focus of our research centers on the development of statistical and computational tools for the analysis of functional MRI data to allow a rigorous mapping between brain and behavior. Show less