CV and Professional Information

This page is for professional information on tom denton.

Academic Background

  • Postdoctoral Researcher, York University and the Fields Institute, 2011-2012 and 2013-2014.
  • Fulbright Scholar, Maseno University, Kenya, 2012-2013.
  • PhD, University of California, Davis, 2011.
  • BSc, University of Oregon, Eugene, 2006.
  • Budapest Semesters in Mathematics, 2002.

Publications

Initiatives and Projects

  • 2013: Co-founder of LakeHub, a technology hub in western Kenya intended to build the technology community and develop the rural economy in Kenya.
  • 2012-13: Introduced WebWork at Strathmore University and Maseno University, which allowed ongoing evaluation in large courses, directly addressing ongoing problems in lower-division courses at both institutions.
  • 2013: Guest lecturer at the African Institute of Math Sciences (AIMS), for a three-week problem solving course.
  • 2013: Lectured for a three-week algebraic geometry workshop in Kenya on the Sage computer algebra system and Grobner Bases.
  • 2013: Co-founder and coordinator for the first Ethiopian math camp, at Bahir Dar University, Ethiopia.
  • 2011-13: Co-founder and coordinator for the Maseno Math Camp, at Maseno Univesity, Kenya.  This is the first math camp in Kenya, and runs yearly for one week in August.  We have also run numerous one-day ‘mini-math camps’ around western Kenya and Nairobi.
  • 2013: Authored some free online notes for an Algebraic Structures course given through Maseno University.  Developed a Django backend for curating the project, and learned JQuery and related web techologies as needed.  The notes are currently being integrated into the UC Davis Math Wiki.
  • 2010-13: Co-author of a linear algebra text with Andrew Waldron and David Cherney.
  • 2009-2011: Worked with COSMOS, a summer outreach program for secondary students, teaching computer programming using Lego Mindstorm robots.
  • 2008-present: Contributor to the Sage Math project, a free, open-source computer algebra system.  Contributed a number of patches, including functionality for affine permutations which greatly speeded computations relating to k-Schur functions.

6 thoughts on “CV and Professional Information

  1. j.r.howse@sheffield.ac.uk March 19, 2016 / 2:28 am

    Dear Tom,
    I have an interest in your remote / outdoor/ leave alone pi-lapse set-up.
    Do you have the hardware / power / camera setup documented anywhere as I am thinking of doing similar.
    Regards and thanks.
    Jonathan Howse

    • sdenton4 March 19, 2016 / 1:50 pm

      Hello! The hardware was just a Pi model B with a camera board, housed in a case made of legos. For power, the cottage where it was running actually had power still, so was just plugged into a wall outlet. I’ve looked a couple of times into doing a solar+battery setup for long term outdoor placements, but haven’t actually built anything, and will be interested to hear what you come up with. Good luck!

      • Jan Ježík January 5, 2017 / 1:18 pm

        Hello Tom.
        Nice work with the long-term time-lapse video. I plan to do something similar. I want to film the whole construction of our new house (i expect it to take two to three years). Will you be so kind as to share the software you wrote in order to take only “balanced photos”? You wrote about it at the beginning of your post:
        “I had also written some software for the time-lapse to ensure that pictures were only taken during the day time, and to try to maintain a balance of well-lit, consistent images over the course of each day”

        I plan to take maximum 1 picture per hour using Raspberry Pi 3B with camera module V2. The setup will be plugged into a wall outlet and I might even have internet access to it.

        I want the software to take pictures only during the day and set the capture parameters for each shot in order to even-out differences in light conditions.
        It would be fantastic if you could share even the software for the post-processing.

        Any insight or suggestions will be highly appreciated.
        Thank you and have successful year 2017 🙂

  2. j.r.howse@sheffield.ac.uk March 28, 2016 / 4:58 am

    Hello again.
    So, after a lot of browsing and surfing and googling and so on, I think the solution to long term, off grid, pi time lapse is this:

    http://spellfoundry.com/products/sleepy-pi/

    Especially if it’s just time lapse photos, you really only need the pi on for 20 sec an hour, and maybe a total of 2 mins a day…so, in theory, month of operation from a stack of NiMH batteries.

    …solar would be nice, but makes it all more complicated…..

    …but given that you can feed in 6v to 17v …. It might be possible to use a big panel to power up if it’s sunny ( power supplying power) and if it’s sunny, and here is enough power…..up it come….if not… Nothing….

  3. Corey April 24, 2023 / 12:07 pm

    Dear Tom,

    Hello, I’m very interested in your work on bird song separation using machine learning. As an ecology student, I’m trying to develop a similar model to separate the calls of individual birds of a single species (Manx shearwater) for my master’s project. I’ve downloaded the trained separation model following the instructions on GitHub, but I’m wondering how to re-train the same model using solely Manx Shearwater calls by myself to improve the separation results. As I know very little about building and training a machine-learning model, I would be very grateful for any guidance! Thank you!

    Kind regards,
    Corey Liu

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