Atul Phadke
Nashua,NH
Summary
Diligent research Intern with hands-on experience in data collection and analysis. Contributed to multiple research projects by synthesizing information and presenting findings effectively. Demonstrated analytical skills and problem-solving abilities in various academic settings.
Overview
4
4
years of professional experience
Work History
Software/Research Intern
Mass General
05.2024 - Current
- Currently working in Dr. Casey Maguire's lab at the Gene and Cell Therapy Institute
- Designed and developed command line utility for AAV9 peptide analysis using C/C++ and Python in a user-friendly way.
- Developed and utilized tools for genome editing technology on deep sequencing data. Created machine learning model rapidly search for various amplicon sequences in an inserted vector
- Cultured virus and bacteria cultures and used qPCR techniques for amplification.
Developer
Admission Forge
05.2024 - 07.2024
- Created a website that puts statistics on university admissions into context for future applicants.
- Over 50 universities algorithmically ranked and charted
- Developed and trained an AI model that used toolkits as Beautiful Soup and requests to gather data from the internet.
- Enhanced website performance by optimizing front-end and back-end code.
- Created using Wix's website framework and integrated third-party APIs to expand functionality.
- Currently deactivated
Software Intern
Northeastern University
02.2021 - 03.2024
- Was the lead developer in a series of software pipelines for data analysis of neuro-imaging techniques such as DTI, fMRI, and QUTE-CE. Currently being used by the CTNI (Center for Translational Neuroimaging) at Northeastern University and the Colorado Cancer Center and plan to be distributed to other research institutes in the upcoming future.
- Collaborator of an upcoming CTNI cloud application for visualization, pre-processing, image analysis, and post processing of neuro-imaging studies.
- Developed an innovative technique for calculating Blood Brain Barrier permeability using QUTE-CE MRI for analysis of Traumatic Brain Injuries.
- Created BRUKER MRI to NII conversion software that improves the previous flagship method used prior by over 92%.
- Submitted and approved 2 research papers for presentation at the Society for Neuroscience 2023 (SFN) on the effects of diabetes on the brain and detecting neuroinflammation from dosages of known neurotoxins.
Education
Bachelor of Science - Computer Science And Behavioral Neuroscience
Northeastern University
Boston, MA04-2028
Skills
- Machine learning and Neural Networks
- Python and C
- UI/UX design and implementation
- Full stack development
- Linux
- Git
- Experience using LaTeX
- Microsoft Excel and Powerpoint
Timeline
Software/Research Intern
Mass General
05.2024 - Current
Developer
Admission Forge
05.2024 - 07.2024
Software Intern
Northeastern University
02.2021 - 03.2024
Bachelor of Science - Computer Science And Behavioral Neuroscience
Northeastern University
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