At the cross-section of technology, policy, and innovation.
I am studying Master's in Cybersecurity and Public Policy at Tufts University, focusing on disinformation, data & AI regulation, and digital democracy.
My previous experience and training were in biomedical engineering, data science, FDA regulations, and medical entrepreneurship.
Email: tdinh02@tufts.edu
LinkedIn: linkedin.com/in/long-artem-dinh
Artem Dinh | Артем Дінь | Đinh Tiên Long
📌 Boston, MA, USA
🏠 Ho Chi Minh City, Vietnam & Berdychiv, Ukraine
What I am working on
Candidate for Master of Cybersecurity and Public Policy
Graduating in 05/2025
I am actively looking for research or internship opportunities in disinformation, tech & cyber policy, and data governance & compliance.
Ukrainian Student Union of America
Chief of Staff
Resources for those interested in Disinformation
Check out the list of my pick of companies that are already fighting disinformation or offer useful services for the fight.
Projects & Writings
“Social media trolling can be good too” explores how social media trolling can be used as a tool for positive cyber activism, using the case study of NAFO, a pro-Ukrainian group that counters Russian disinformation and supports Ukraine’s cause. Class Paper
“Detection of Botnets Engaged in Information Operations” proposes a strategy to detect botnets that are involved in information operations on social media platforms, using a combination of network traffic analysis and social media monitoring techniques. Class Paper
“Proposal: Mapping Russian influence on US public figures via Twitter/X” proposes a study to measure the impact of Russian disinformation on Twitter on the political sentiment of American public figures during the 2016 election. Class Paper
Tech Stack
Deep Learning (Tensorflow, PyTorch, Scikit-learn, Computer Vision, NLP)
Big Data (Google Cloud, Hadoop, Spark, SQL)
Programming Languages (Python, MatLab, JavaScript, C++)
Data Analysis (Visualization, Modeling, Cleaning)
Cybersecurity (Wireshark, Kali Linux, Network Traffic Analysis, NIST RMF, Threat Modelling)