Aaron Gerow grew up in and around Chicago and went to college at Pacific Lutheran University, studying Computer Science and Philosophy. He worked as a developer and sysadmin before getting a Master's in cognitive science at University College Dublin and a PhD in computational linguistics at Trinity College Dublin.
He spent three years as a postdoc in the Knowledge Lab at the University of Chicago and one year as a Killam Fellow at Dalhousie University in the Institute for Big Data Analytics. He joined Goldsmiths in November 2017.
- BA in Computer Science from Pacific Lutheran University
- Msc in Cognitive Science from University College Dublin
- PhD in Computer Science from Trinity College Dublin
- Fundamentals of Computer Science (Undergrad CS)
- Big Data Application (Msc in Data Science)
- Big Data Analysis (Msc in Data Science; University of London)
- Probabilistic Graphical Models
- The Process of Data Science
Computational Social Science, Network Science, Text Mining, Statistical Semantics
Measuring Discursive Influence Across Scholarship
Gerow, Aaron; Hu, Yuening; Boyd-Graber, Jordan; Blei, David and Evans, James. 2018. Measuring Discursive Influence Across Scholarship. Proceedings of the National Academy of Sciences, ISSN 0027-8424
Is level of prematurity a risk/plasticity factor at three years of age?
Hadfield, Kristin; Fearghal, O'Brien and Gerow, Aaron. 2017. Is level of prematurity a risk/plasticity factor at three years of age? Infant Behavior and Development, 47, pp. 27-39. ISSN 0163-6383
Conference or Workshop Item
Reflexive Regular Equivalence in Bipartite Data
Gerow, Aaron; Zhou, Mingyang; Matwin, Stan and Shi, Feng. 2017. 'Reflexive Regular Equivalence in Bipartite Data'. In: Canadian Conference on A.I. (CAI 2017). Edmonton, AB, Canada.
A Secure Data Enclave and Analytics Platform for Social Scientists
Bubji, Yadu; Chard, Kyle; Gerow, Aaron and Duede, Eamon. 2016. 'A Secure Data Enclave and Analytics Platform for Social Scientists'. In: 12th IEEE Int. Conf. on eScience (eScience 2016). Baltimore, WA, United States.
Cloud Kotta: Enabling Secure and Scalable Data Analytics in the Cloud
Babuji, Yadu; Chard, Kyle; Gerow, Aaron and Duede, Eamon. 2016. 'Cloud Kotta: Enabling Secure and Scalable Data Analytics in the Cloud'. In: IEEE International Conference on Big Data (BigData 2016). Washington DC, United States 5-8 December 2016.
Proposing Ties in a Dense Hypergraph of Academics
Gerow, Aaron; Lou, Bowen; Duede, Eamon and Evans, James. 2015. 'Proposing Ties in a Dense Hypergraph of Academics'. In: 7th Internation Conference on Social Informatics (SOCINFO 2015). Beijing, China.
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections
Zhang, Jingwei; Gerow, Aaron; Altosaar, Jaan; Evans, James and Jean So, Richard. 2015. 'Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections'. In: Empirical Methods in Natural Language Processing (EMNLP 2015). Lisbon, Portugal 17-21 September 2015..
Extracting Clusters of Specialist Terms from Unstructured Text
Gerow, Aaron. 2014. 'Extracting Clusters of Specialist Terms from Unstructured Text'. In: 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP '14). Doha, Qatar October 25-29, 2014.