Baruah VikVikram Baruah
PhD student in Biomedical Engineering
website:https://www.linkedin.com/in/vikram-baruah-bbb99241

I am Vik a 2nd year PhD student in Biomedical Engineering Department working in Dr. Thomas Milner's group. My primary focus is on tackling tissue classification problems in the heart and the brain based on optical coherence tomography imaging technology using neural network methods. The rest of my research involves investigating Alzheimer's disease diagnosis using novel retinal optical coherence tomogrophy devices. The thesis of my research is to employ artificial intelligence to facilitate consistent and accurate image analysis for better diagnosis based on tissue morphology. I am also fascinated by entrepreneurship and the process of translating technology to the marketplace.  In my free time I enjoy reading, hiking and tennis.  

Tony lab photoAnthony Dutcher
PhD student in Neuroscience
website:https://clm.utexas.edu/preston/people/

I am a 2nd year PhD student in Neuroscience student, working with Dr. Alison Preston’s group. I received a M.S. in Cognitive-Neuroscience in 2015 from The University of Texas at Dallas. During this time I worked at the University of Texas Southwestern Medical Center on a multi-site collaboration that took a data-driven (using brain imaging techniques like fMRI, MRI, and EEG) approach to classify psychiatric illnesses. In Dr. Preston’s group, we are interested in leveraging human brain imaging data to understand the neural mechanisms underlying memory processes. Neuroimaging data yields thousands of individual data points. In order to fully utilize the mechanisms underlying memory processes we employ machine learning algorithms to pick-up on the subtle but distinct states carried across these large arrays of voxels.


Ciara Nugent

PhD student in Statistics and Data Sciences

Ciara is a second year PhD student in Statistics. She is interested in the increasingly interdisciplinary fields that are emerging and developing in science; in particular how statistics and computing can be applied to biological problems. On the statistical side, Ciara’s interests include analyzing spatial and temporal data, as well as Bayesian inference. Ciara holds a BS in Mathematics with a second major in English from Duke University, and an MS in Statistics from the University of Illinois - Urbana-Champaign.

 

Ott EvanEvan Ott
PhD student in Statistics and Data Sciences
website: www.evanott.com

Evan loves connecting data with people and real-world problems. He aims to aid discovery by bringing the best of modern statistics to the table with interdisciplinary teams working on challenging, cutting-edge research. He enjoys applying the lessons he’s learned from multiple software engineering internships to statistical problems. Evan holds Bachelor’s degrees in Physics and Computer Science from UT-Austin, and is currently pursuing a PhD in Statistics.

 

Shroff RaghavRaghav Shroff
PhD student in Cellular & Molecular Biology

Raghav graduated with a B.S. in Bioengineering from Rice University in 2012. From there, he joined the research team at Asuragen where he worked on automating data analysis for their fragile X assay. Now a third year Ph.D. student at UT-Austin, he is a member of the Ellington lab, researching the use of directed evolution techniques to create novel functional proteins as well as using large data sets from next gen sequencing to better inform wet lab experiments. 

SongKevinKevin Song 
PhD student in Computer Science
website: www.cs.utexas.edu/~theksong/

As an undergraduate at UC Merced, Kevin studied experimental chemistry, with an emphasis on polymers and II-VI quantum dots. One day, he decided that he was done with breathing in cadmium-laden solvents, and decided to look for another line of study. His search lead him to high-performance computing and eventually intothe computer and computational sciences. He currently studies computational geometry and symmetry under Chandrajit Bajaj in ICES.