I work as a computational social scientist at Humanyze. By designing new algorithms for understanding how work gets done in organizations I contribute to the research and practice in organizational behavior and human resource management.
Inputs to my algorithms are face-to-face (sociometric badges) and online communication (e.g. email, calendar, calls, and IMs) metadata, and the outputs are metrics that generate business insights by revealing communication and collaboration patterns within and across different units of the enterprise.
If I try to define myself here, it will be not me, it will be me primed in the context of this website. Also, the reader might think: (1) this probably is not him, it is what he wants us to think of him, or (2) this is what he thinks he is, self-reports are not reliable.
What is the pointing of having an about me section, anyway?
*: I screenshotted this and shared with a close friend (definition needed), he replied: “this is so you, leave it as is” 🙂
Some of my past work:
- What Happens If a Nuclear Bomb Goes Off in Manhattan? [Notebook]
- Attribution of Blame and Responsibility in #FlintWaterCrisis [Notebook]
- Politicians Busted while Agenda-setting on Social Media [Blog post w/ repo]
- Twlets: Twitter→Excel, Chrome Web Browser Extension [web app, code]
- AirBnB++: Search Listings by Reputation and Description [Notebook]
- GeoPopularity of Politicians [Notebook]
- Doomsayers or Pollyannas? Gatekeepers on Twitter [Paper, Notebook]
- Zotero-picker plugin for Atom text editor [Plugin page w/ repo]
About. I strive for understanding complex social and behavioral phenomena, to this end, I’ve studied towards my Ph.D. in
computational social science (CSS) in the Department of Computational & Data Sciences (CDS) at George Mason University (GMU). My background is in computer science (CS); actually, I hold two master’s degrees in CS, one with a focus on
data mining and the other on
internet measurements. For about five years, I have worked in the Machine Learning and Inference lab (MLI) within the Center for Discovery Science and Health Informatics (DSHI). Then I worked at the Center for Social Complexity within Krasnow Institute on population synthesis for an agent-based model of Characterizing Response to a WMD Event in a Mega-city, supported by DTRA.
More About Me…
I have taken so many classes. Some of them were good, and others were great. Here is a list of my favorite classes:
George Mason University (CSS, Ph.D.)
- Computational Analysis of Social Complexity (CSS 610)
- Spatial Agent-based Models of Human-Environment Interactions (CSS 645)
- Complexity Theory in Social Sciences (CSS 625)
- Geosocial Media (CSS 739)
- Geographic Information System (GGS 553)
- Geospatial Intelligence (GGS 684)
- Web-based GIS (GGS 692)
George Mason University (CS, MS)
- Big Data
- Data Mining on Multimedia Data
- Data Mining
- Algorithm Analysis
- Social Networks
- Artificial Intelligence
- Semantic Web & Knowledge Engineering
- OO Software Specification & Construction
- Software Modeling
University of Nevada-Reno (CS, MS)
- Complex Networks
- Computer Networks
- Internet Protocols
- Genetic Algorithms
- Combinatorics & Graph Theory
MOOC (Online learning)
I think one of the greatest blessings bestowed upon new generations is MOOC. I have learned a lot especially from some Coursera courses such as Data Analysis and Statistical Inference and Model Thinking, and looking forward to learning more.
I also enjoy online hackathons, in particular, I used to actively participate Kaggle competitions, and once was a top percentile data scientist [it appears that their ranking algorithm takes active participation into account seriously].