Hi, I’m Maede Maftouni, a full-stack data scientist who builds scalable AI and data engineering systems that turn complex data into clear, actionable insight.

My work sits at the intersection of machine learning, data engineering, and insightful visualization, and I’ve always been drawn to problems where clarity and real impact matter just as much as accuracy.

I’m currently a Senior Data Scientist at Socure building data products that surface real-time operational signals, automate insights, and make vendor and system performance easier to understand and optimize. Before that, I worked at Quantum-Si, where I designed machine learning models for protein sequencing hardware and built end-to-end data pipelines that supported both R&D and manufacturing. I earned my Ph.D. in Industrial Engineering from Virginia Tech, along with a graduate certificate in Data Analytics.

My work spans across medical imaging, manufacturing, biotech, and large-scale operational analytics. I enjoy projects that blend modeling, storytelling, and systems thinking, whether that means predicting hardware parameters, analyzing time series patterns, or building dashboards that help teams spot issues before they become problems. I work comfortably across text, time series, images, and video, and I use Python, SQL, Airflow, AWS, Tableau, and Streamlit almost every day.

My research background shaped how I approach problems. During my Ph.D., as a part of the SMART Laboratory, I developed interpretable deep learning models for COVID-19 CT scan diagnosis and for video segmentation in additive manufacturing. That experience taught me how to move fluidly between experimentation, modeling, validation, and communication in a practical, grounded way.

At the core of everything I build is the same goal: transform raw, messy data into something reliable, understandable, and genuinely useful. I care about clarity, real-world impact, and designing solutions that teams can trust and use with confidence.

News

[Sep. 2025] Taught Communication and Visualization for Data Analytics as an Adjunct Professor at Northeastern University
[Oct. 2024] Joined Socure as a Senior Data Scientist
[2023–2024] Taught Applied Data Engineering and Modeling as an Adjunct Professor at the University of New Haven. [Sep. 2023] Promoted to Senior Data Scientist at Quantum-Si
[May. 2023] Defended my Ph.D. in Industrial and Systems Engineering (ISE) at Virginia Tech
[May. 2022] Joined Quantum-Si as a Data Scientist
[Apr. 2022] Held a Workshop on “Building Interactive Dashboards with Tableau” at VT INFORMS Student Chapter
[Nov. 2021] Held a Python Workshop on “US Real Estate Market Trends Visualization” at VT INFORMS Student Chapter
[Aug. 2021] Received Future Professoriate Certificate at Virginia Tech
[Apr. 2021] Held a Workshop on “Data Wrangling and Analysis in Python” at VT INFORMS Student Chapter
[Nov. 2020] Won the runner-up award in the 2020 INFORMS QSR Data Challenge on “CT Scan Diagnosis for COVID-19”
[Nov. 2020] Won the second place in the 2020 VT INFORMS student Chapter Poster Competition
[May 2020] Received Master of Science in Industrial and Systems Engineering (ISE) at Virginia Tech
[Dec. 2019] Received Graduate Certificate in Data Analytics at Virginia Tech
[March 2020] Passed the Ph.D. Preliminary Exam
[Nov. 2019] Presented at 2019 Informs Annual Meeting Seattle
[Sept. 2019] Joined the SMART Lab
[Sept. 2017] Awarded a Graduate Fellowship for the Ph.D. program at Virginia Tech