Please address me as Professor, Professor Marasović, Dr Marasović, or Ana if we are on a first-name basis (please feel free to ask if unsure). My pronouns are she/her.
My name is pronounced as Ah-nah Mara-so-veetch, with “Mara” as the actress “Mara Wilson”.
You are a student at the University of Utah interested in a collaboration/mentoring [Click to expand!]
Please send me an email with the following information: [Click to expand!]
- What’s your educational status? [undergrad, masters, PhD, other + which semester/year] Note that I’m not taking MS students in the first semester of their masters.
- Which research questions or problems interests you,
- What do you hope to get out of this collaboration,
- Mention are you proficient in python,
- Mention are you familiar with pytorch [and if yes, links to your github repos are appreciated],
- If you TA’ed, for which courses/professor, and if you didn’t please make a note of that,
- If you worked with a SoC faculty, please mention them, and if you didn’t please make a note of that,
Which courses from the following list have you completed and with which grade:
- CS 5966/6966 – Local Explanations for Deep Learning Models
- CS 6350 – Machine Learning
- CS 6353 – Deep Learning
- CS 6340 – Natural Language Processing
- CS 6390 – Information Extraction from Text
- CS 6355 – Structured Prediction
- CS 6540 – Human-Computer Interaction
- CS 6320 – Computer Vision
- CS 6140 – Data Mining
Please let me know if you are you taking some of them at the moment. Feel free to also note other courses that you find relevant, including courses taught outside the College of Engineering (e.g., in math, linguistics, philosophy, psychology).
You are a BS/MS student. Am I going to pay you? [Click to expand!]
The first semester working together would be an unpaid/independent study. If things are going well and there is continued mutual interest in working together, I’m open to helping you with the UROP proposal if you’re a BS student or taking you as an RA if you’re a MS student. This is not guaranteed! Only after working together we can have a conversation about it, especially for RA-ships that are subject to my current funding abilities.
You are not a student at the University of Utah, but you want to be [Click to expand!]
If you’re interested in doing a PhD in the School of Computing, please apply. We will carefully consider every application. More information about the application process can be found here.
While I’m honored to be considered as anyone’s advisor, as most professors I don’t have bandwidth to answer every email that inform me about achivements and interest to work with me. In very rare cases, when an email is specific and demonstrates that the writer genuinely engaged with my work, I might respond. If I haven’t responded to you, not only that sending more emails won’t help, it actually overwhelms me, and I’d really appreciate if you don’t do that.
Note on the Statement of Purpose [Click to expand!]
Through the years I noticed that many students believe they should focus on maximizing the number of publications to improve their PhD application. While demonstrating research experience and skills is indeed very important, this comes in different flavors. Publishing is one. Others include good scientific writing, developed research taste, knowledge of currently most prominent approaches in the area of interest and the gaps that need to be filled in to make short- and long-term progress, ideas of how to address these gaps, etc. Just as publishing, these are acquired skills that we do not expect that you already fully mastered when applying for PhD. That’s what a PhD is for. 🙂 Your statement is your chance to demonstrate to a potential advisor, who doesn’t know you yet, that you are capable and excited to further develop these skills. I hope you can infer now how even research projects and activities that did not result in a publication can be useful in your statement. I linked some resources for how to improve these skills here, and you can find examples of great statements here.
You’re looking for postdoc positions [Click to expand!]
I’m not hiring postdocs yet.
Talk bio [Click to expand!]
Ana Marasović is an Assistant Professor in the School of Computing at the University of Utah. Her primary research interests are at the confluence of NLP, explainable AI, and multimodality. She aims to rigorously validate AI technologies and make human interaction with AI more intuitive. She was a Young Investigator at the Allen Institute for AI from 2019–2022. During that time, she also had a courtesy appointment in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She obtained her PhD in 2019 from Heidelberg University.