Contact Information

Computer Science Department
Colgate University
McGregory Hall, 3rd Floor
13 Oak Drive
Hamilton, NY 13346
(tel) 315.228.7719
(fax) 315.228.7009
department@cs.colgate.edu

Upcoming events

  • 21

    Apr

    2015

    Join us for our next department tea! We will have two speakers, Farah Fouladi '15 and Sam Daulton '15. Each will speak about their final project from Professor Ay's course on Modeling of Biological Systems.

    Lunch will be served following the talks.

    Title: Predicting Cancer using Mutual Information-based Gene Association Networks
    Speaker: Sam Daulton '15
    Abstract: Machine-learning algorithms can be used on gene expression data as an alternative to traditional clinical methods for diagnosing cancer and determining a patient’s prognosis. A standardized, accurate approach to classifying and diagnosing colon cancer does not exist. Little is known about molecular alterations associated with the heterogeneity of the disease, and no molecular marker has been validated for clinical practice as a diagnostic or prognostic parameter. We propose a novel supervised classification algorithm, the NBC-A method, for predicting cancer from gene expression data with greater accuracy and for identifying genetic biomarkers. NBC-A improves the NBC method developed by Ay et al. in 2014 by constructing gene association networks using mutual information as the statistical metric instead of Pearson correlation. We expect NBC-A to produce transcriptional networks that are more indicative of the underlying biological pathways of colorectal cancer, leading to discovery of new biomarkers. NBC-A yields higher classification accuracies than many traditional classifiers including Support Vector Machine (SVM), k-Nearest Neighbors (kNN), and Naïve Bayes (NB) on the tested colon cancer dataset. In addition, NBC-A outperforms all other methods tested (NBC, SVM, kNN, NB, and Random Forest (RF)) on a lung cancer dataset.

    Title: TBD
    Speaker: Farah Fouladi '15
    Abstract: TBD


Past events

  • 14

    Apr

    2015

    Join us for our next department tea! Our speaker will be our very own Chris Nevison who will talk about some new features in Java for parallel computing.

    Lunch will be served following the talk.

    Title: Parallel Computing in Java
    Speaker: Chris Nevison, Professor of Computer Science

    Over the past few years Java has added a number of new tools for concurrent and parallel programming. With multi-core chips in most computers today, these tools are easy to use. In this talk I will describe some of these new tools and demonstrate their use.

  • 7

    Apr

    2015

    Join us for our next department tea! Our speaker will be Jessica Cundiff, who studies gender bias and has looked specifically at such biases in the field of computer science. This should be an informative talk!

    Lunch will be served following the talk.

    Title: Addressing the gender gap in computer science: Why are women underrepresented and what can we do about it?
    Speaker: Jessica Cundiff, Visiting Assistant Professor of Pyschology

    Women continue to be underrepresented in computer science, with only 22% of bachelor’s degrees awarded to women over the last 10 years. Drawing from recent work in social psychology, this talk examines the factors that contribute to women’s underrepresentation in computer science. The talk will also present potential strategies for increasing gender diversity and inclusion, focusing on implementing change at both the structural level and interpersonal level within academic departments. Although the talk focuses on closing the gender gap, the strategies presented have potential for increasing interest and retention in computer science more broadly.

Events history