Education
Master of Science in Computer Science
Concentration: Artificial Intelligence, Intelligent Tutoring Systems, Distributed Operating Systems, Real-Time Middleware for Media Streaming
Bachelor of Electrical Engineering
Concentration: Microprocessor Architectures
Selected Published Research
Selected articles from the ACM Queue (see below) are also published in Communications.
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In Review
Invited book chapter under review for the upcoming 3rd edition of the Encyclopedia of Social Network Analysis and Mining, eds. R. Alhajj and J. Rokne, Springer.
Media
The Statistical Kings of Comedy (Stats + Stories, Episode 348)
On the Stats + Stories podcast, I talk with hosts John Bailer and Rosemary Pennington about how statistical modeling and social network analysis can be used to understand patterns of artistic influence among contemporary American stand-up comedians.
Conference Presentation: A Social Network Based Approach to Analyzing Artistic Influences on American Stand-Up Comedians
Conference talk based on my research using social network analysis and statistical modeling to study patterns of artistic influence among contemporary American stand-up comedians.
Should You Upload Or Ship Your Big Data To The Cloud?
Companion talk to my 2016 ACM article examining the trade-offs between uploading and physically shipping terabyte-scale data to the cloud. The talk presents an analytical comparison of the two strategies, highlighting how factors such as network bandwidth and drive interface speeds affect which approach is more practical in real-world scenarios.
Selected Stories On Statistics
A curated selection of my writing on statistical thinking, data analysis, and quantitative storytelling.
“If you try it, you might wanna buy it.” - An Introduction to Statistical Sampling
Statistical sampling is the art of selecting a sample that embodies the essence of the population you wish to study. A good sample, therefore, is a miniature version of the population.
How Biased is Your Regression Model? - A deep dive into the causes, effects, and remedies for bias in regression models
Your estimate is biased if it consistently deviates from the true value, usually in a systematic pattern, and this deviation is more pronounced for certain classes of data compared to others.
Nonresponse Bias - How the Silent Majority Decided an Election, and Sunk a Beloved Publisher
An intro to a statistical bias that makes its brutal presence felt through a complete absence of data.
Statistical Convergence and its Consequences
A story about convergence of random variables set within the extraordinary voyage of the Nimrod.
A Proof of the Central Limit Theorem - If you like chocolate, this proof will feel like the multi-layered magic of a Mars bar
There are, in essence, two ways to prove the Central Limit Theorem. The first one is empirical while the second one employs the quietly perfect precision of mathematical thought. I’ll cover both methods in this article.
Unraveling the Law of Large Numbers
The LLN is interesting as much for what it does not say as for what it does.
On Jacob Bernoulli, the Law of Large Numbers, and the Origins of the Central Limit Theorem
An exploration of the Weak Law of Large Numbers and the Central Limit Theorem through the long lens of history.
Abraham De Moivre, His Famous Theorem, and the Birth of the Normal Curve
The life and times of Abraham De Moivre, his famous theorem, and how it set the stage for the discovery of the Central Limit Theorem.
Pierre-Simon Laplace, Inverse Probability, and the Central Limit Theorem
On Laplace’s brilliant solution to inverse probability and his discovery of the Central Limit Theorem.
Experience
Vice President - Product Innovation
VitalEdge TechnologiesI use principles from AI/ML/Data Science to create software products for the heavy equipment industry.
Practice Head – Mobile Technologies
Quinnox Consultancy ServicesCo-founded and led the mobile applications practice of Company.
Scientist – Systems Analyst
BBN TechnologiesDesigned and built several large-scale distributed real-time and near-real-time multi-agent systems and simulations.
Graduate Research Assistant
University of Massachusetts AmherstBuilt intelligent tutoring systems for UMass’s undergraduate Chemistry majors.
Graduate Teaching Assistant
University of Massachusetts AmherstTeaching assistant for UMass’s undergraduate computer science courses.
Systems Trainee
I2 TechnologiesDeveloped, maintained, tested supply chain software.