Hi! I'm Mikayla Timm.

I'm a first year MS/PhD student in Computer Science at the University of Massachusetts Amherst, where I'm currently a member of the Computer Vision Laboratory. I'm highly interested in computer vision, machine learning, and natural language processing research. I obtained my B.S. in Computer Science with a minor in Mathematics from the University of West Florida, where I graduated Summa Cum Laude in spring 2017.

As of Fall 2017, I'm researching computer vision techniques for fine-grained visual categorization of animals at the species level and individual level. My research advisor is Subhransu Maji.

Aside from research and taking classes, I enjoy playing my flute in the UMass Concert Band, taking care of my cat and guinea pig, eating food, and going to rock concerts.

Research Experience

Summer Research Intern - MIT Lincoln Laboratory (Summer 2017)

  • Researched natural language processing techniques for generating word embeddings in the multilingual context to enable performing NLP tasks on inherently multilingual data, such as tweets.
  • Developed a system for processing multilingual text corpora, training word embeddings, visualizing the resulting high dimensional vectors in a 2D space, and performing intrinsic evaluations on the embeddings, such as analogies and nearest neighbors.

Wearable Device Security Research Assistant - University of West Florida (Fall 2016-Spring 2017)

  • Utilized supervised learning algorithms to classify biometric data obtained from wearable device cyber attacks.
  • Published findings (second author) in a peer-reviewed conference: Reichherzer, T., Timm, M., Earley, N., Reyes, N., & Kumar, V. (2017). Using machine learning techniques to track individuals & their fitness activities. In A. Bossard, G. Lee, & L. Miller (Eds.), Proceedings of 32nd International Conference on Computers and Their Applications, March, 20-22, 2017, Honolulu, Hawaii, USA (pp. 119–124). Winona, MN, USA: ISCA.

Summer Undergraduate Research Scholar - University of West Florida (Summer 2016)

  • Researched machine learning techniques for predicting outcomes of animals in shelters.
  • Published findings (first author) in a peer-reviewed conference: Timm, M., El-Sheikh, E. (2017). An Evaluation of Machine Learning Algorithms for Prediction of Shelter Animal Outcomes. In A. Bossard, G. Lee, & L. Miller (Eds.), Proceedings of 32nd International Conference on Computers and Their Applications, March, 20-22, 2017, Honolulu, Hawaii, USA (pp. 119–124). Winona, MN, USA: ISCA.

REU Student Researcher - UMass Amherst (Summer 2015)

  • Researched computer vision algorithms for identifying individual jaguars in images to assist ecologists with their conservation efforts.
  • Presented research in both oral and poster form at UMass and UWF Student Scholars Symposium.
  • Awarded Best Student Project in Computer Science at 2016 UWF Student Scholars Symposium.

Contact Info

Thank you for viewing my website! If you'd like to get in touch with me, please send me an email at mtimm100@gmail.com.

You can find me on LinkedIn here.