THE INTERNET DEMOCRACY INITIATIVE

Meet the Data Science Team

Scott Cambo

Scott Cambo

Senior Data Engineer

Dr. Scott Allen Cambo has dedicated his career to helping teams research, design, build, and monitor AI systems that are safe to use, responsibly developed, and trustworthy. After graduating with a PhD in Technology and Social Behavior from Northwestern University, Dr. Cambo has led the technical and product development for expert-centered interactive machine learning systems (Avalanche Insights, now Fathom.AI) as well as the development of algorithm auditing processes and AI governance tools (Parity.AI, now Vera.AI). Scott also brings a breadth of leadership experience to the team having had multiple management and leadership roles as the Head of Human-Centered Data Science for Vera.AI, General Manager for the Responsible AI Collaborative, and Chief of Trustworthy AI for Redmane Technologies.

Email: s.cambo@northeastern.edu

AJ Ilentamhen

AJ Ilentamhen

Data Engineer

AJ Ilentamhen was raised in Boston, MA, and the Boston area, as well as Brockton, MA. After attending high school in Dorchester, MA, he went on to study Computer Science with a focus in Software Engineering at Pennsylvania State University. Beginning his IT career in Software Engineering and transitioning to Data Science/Data Engineering, he is also a published kid’s author, sports lover, lover of film and screenwriting, enjoys board games and historical documentaries, and is overall interested in and passionate about learning.

Sibyl Sun

Sibyl Sun

Data Engineer

Sibyl is a data scientist/data engineer at The National Internet Observatory, specializing in statistical analysis and machine learning. With a background in statistics and data science, she has worked on cloud computing platforms to build scalable data pipelines and leverage MLflow for machine learning model management, enabling data-driven decision-making. Outside of work, Sibyl is a mom of two dogs and loves outdoor activities such as hiking and tennis.

Email: hui.sun@northeastern.edu

Hemish Veeraboina

Hemish Veeraboina

Data Engineer

Hemish Veeraboina is a Data Engineer at Northeastern University, specializing in scalable data pipelines, ETL orchestration, and big data processing. With expertise in Python, SQL, and distributed systems (Spark Kafka, Hadoop, Dask), he builds efficient and robust data solutions. Currently, he is exploring machine learning, causal inference, and AI-driven data engineering solutions to enhance automation and analytics at scale.

Email: h.veeraboina@northeastern.edu

Learn more about our work with the National Internet Observatory

Contact Us

Are you interested in joining the IDI team or have a story to tell? reach out to us at j.wihbey@northeastern.edu