Tara V. Anand
I am a PhD student at Columbia University in the Department of Biomedical Informatics, interested in using artificial intelligence and biomedical data for clinical phenotyping and predictive analysis. I graduated with honors from Barnard College in May 2020 with a degree in Computer Science and Asian and Middle Eastern Cultures.
As a Computer Scientist intern at Adobe's headquarters in San Jose, I worked on a Digital Marketing team researching trends in image metadata information and developing an app to process image metadata from users' photo library to highlight significant images.
I also became involved in the community by serving as a mentor for the Girls Who Code Program hosted at Adobe and by speaking on the Women at Adobe's Intern Panel, reflecting on my internship experience and sharing advice for younger students who hope to pursue a career in tech or are interested in Computer Science.
Interning in the Global Chief Data Office of IBM at the North Castle headquarters provided me with the opportunity to work on a number of projects. I trained a machine learning model in Watson Knowledge Studio to annotate documents and I created an entity type system for internal business and financial metadata vocabulary to enhance this model.
I also leveraged NodeRED to develop a UI for Subject Matter Experts to verify the output of the machine learning model, and I created a dashboard to display metrics for the progress of the project.
Working at the Medical University of South Carolina, I investigated the gene x environment interaction between single nucleotide polymorphisms in the gene ITGAM and passive childhood smoke exposure in a population of women with systemic lupus erythematosus, using polymorease chain reaction tests.
At Technica, the largest all-female hackathon, I worked on a team for the Research Track. The Virtual Try-On System Project is working to develop virtual animations to model clothing on figures. Images can be used to create 3D visualizations of an individual's body and different clothing of various sizes and textures can be modeled on the figure so someone can see how a clothing would realistically fit on them and move on their body. For our project, we were interested in investigating ways to decrease the data transmission time (since simulations are done on the cloud) by exploring different compressing/decompressing algorithms designed specifically for the mesh data.
Looking for a new Chrome Extension to brighten your day and make you smile? Download ShowerThoughts, the brainchild of a team of some sleep-deprived developers at a hackathon, and you'll be presented with some philosophical thoughts with an aesthetic background, every time you open a new tab.
While interning with the New Castle Historical Society, I collected and consolidated data on historical landmarks in New Castle, New York. Using this data, I created an online interactive map , marking over 50 landmarks to increase awareness of local history and the importance of landmark preservation.
On campus, I'm a dancer with CUBE, the Columbia University Ballet Ensemble. I've held various board positions within the club and currently serve as the webmaster. Check out our website! We are currently working on our production of Swan Lake. In the past, I've performed in our productions of Coppélia, The Nutcracker, Sleeping Beauty, and Alice in Wonderland.
Orchesis is another student dance group with which I perform. Every semester, our productions are comprised of dances of different styles. Through dancing with Orchesis, I have gotten to explore dancing modern, contemporary, and jazz styles.
Ph.D. in Biomedical Informatics
Bachelor of Arts in Computer Science, Minor in Asian and Middle Eastern Cultures
GPA: 3.80/4.00, Cum Laude, Departmental Honors for Computer Science, Dean's List