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Northeastern University
Data Scientist
June 29, 2026 – Present
ML-Integrated-TwoProbeDiFC
March 26, 2026 – Present
machine learning–integrated framework for diffuse in vivo flow cytometry (DiFC), using a convolutional neural network (CNN) to distinguish circulating tumor cell (CTC) signals from artifacts. The approach leverages both amplitude and temporal peak shape to improve detection accuracy and reduce false positives compared to threshold-based methods.
View Projectmehrnooshe.github.io
September 10, 2025 – Present
mehrnooshe.github.io — GitHub repository
View Projectdisease_epigentics
January 3, 2024 – January 3, 2024
disease_epigentics — GitHub repository
View ProjectAV-action-control
December 5, 2023 – December 5, 2023
Uncertainty-Aware Reinforcement Learning for Safe Control of Autonomous Vehicles in Signalized Intersections
View ProjectAV-state-estimation
December 5, 2023 – December 5, 2023
Modeling and State Estimation of Autonomous Vehicles in Signalized Intersections
View ProjectAV-with-alarm
October 12, 2023 – October 12, 2023
Action Control of Autonomous Vehicle with Alarm System
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on research-oriented data science, particularly in academic or personal settings. The current role as 'Data Scientist' at Northeastern University aligns with this. However, the breadth of technologies outside of Python and Jupyter Notebook is limited, which might impact adaptability to diverse industry environments. The projects are primarily personal, indicating self-motivation but lacking evidence of team collaboration in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.