Consuelo G.
Cuevas
ML & AI RESEARCH SCIENTIST
FOR OTHER ART AND HOBBIES:
I currently am a Computer Science Master's student at Cornell University (NYC campus) and hold a B.S. in Computer Science from Cornell University with Master's coursework in Computer Science through the Georgia Institute of Technology.
I worked as a researcher at MIT Lincoln Laboratory in the Artificial Intelligence (AI) Technology Group. My current research interests include developing deep learning AI and building ethical, fair, robust, and explainable frameworks, as well as systems and applications of AI for social good. Since joining the Laboratory, I have developed synthetic weather radar computer vision models, natural language processing models, and fair and robust machine learning model auditing frameworks for biomedical AI applications. Alongside my technical work, I'm passionate about STEM communication and outreach for underrepresented communities; I led the Hispanic Latinx Network employee resource group, founded the Native American and Indigenous People's affinity group, developed a mentoring program, and taught a workshop through Lincoln Laboratory's Girls' Innovation Research Lab program.
As Machine Learning becomes more and more ubiquitous, I am looking for a space where I can combine both industry and academic research to create explainable and robust deep learning models that solve systemic problems while keeping bias and ethics at the forefront. I'm interested in developing deep learning AI and building ethical, fair, robust, and explainable frameworks, as well as systems and applications of AI for social good.
Knowing that deep learning, when paired with topics such as medical imaging, can significantly increase the accessibility of preventive medical care for disadvantaged communities serves as just one example of the transformative power that industry research solutions can have on all of us. I want to be a part of that future and help shape the AI/ML capability we'll have in the future.
ABOUT ME
ABOUT ME
Yee M., Roy A., Purdue M., Cuevas, C., Quigley K., Bell A., Rungta A., & Miyagawa S. (2023). AI-Assisted Analysis of Content, Structure, and Sentiment in MOOC Discussion Forums. (url-pending).
He, H., Queen, O., Koker, T., Cuevas, C., Tsiligkaridis, T., & Zitnik, M. (2023). Domain Adaptation for Time Series Under Feature and Label Shifts. arXiv preprint arXiv:2302.03133.
C. G. Cuevas, T. Koker, S. Davis, N. Damaso, K. Claypool, (2022, December 6-9). Model-Agnostic Framework for Evaluating Performance, Robustness, and Fairness of Machine Learning Infection Detection [Poster presentation]. Chemical Biological Defense Science & Technology (CBD S&T) Conference, San Francisco, United States.
C. G. Cuevas, C. J. Mattioli, M. S. Veillette, H. Iskenderian, (2021, January 10-15). Using Deep Learning to Correct Radar Beam Blockage [Conference presentation]. AMS 101st Annual Meeting, New Orleans, United States (Virtual).
C. G. Cuevas, J. Keyser, (2016, August 5). Knife Edge Scanning Microscope (KESMBA) Brain Atlas Data Image Processing [Poster presentation]. 2016 Undergraduate Summer Research Grant (USRG) Program with Dwight Look College of Engineering at Texas A&M University, COE Summer Undergraduate Research Symposium, Texas A&M University, College Station, TX.
C. G. Cuevas, J. Thom-Levy. Silicone Sensor Radiation Damage Simulations For a Detector at The High-Luminosity Large Hadron Collider at CERN [Poster presentation]. Cornell Louis Stokes Alliance for Minority Participation Summer Research Experiences for Undergraduates (CU LSAMP REU) 2015, Cornell University, Ithaca, New York.
PUBLICATIONS & PRESENTATIONS
NAIVE WIGGLE STREOSCOPY GIF GENERATOR
This project recreates the results in a paper that creates wiggle stereoscopy gif between two images.
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2018