The National Center for Women & Information Technology (NCWIT) Selects Finalists for the 2021 NCWIT Collegiate Award

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NCWIT is pleased to announce finalists for the 2021 NCWIT Collegiate Award, celebrating 82 undergraduate and graduate students who self-identify as women, genderqueer, or non-binary from 57 academic institutions nationwide.

Conferred annually, the NCWIT Collegiate Award recognizes technical contributions to projects that demonstrate a high level of innovation and potential impact. The 82 finalists were selected based on their achievements and technical abilities exhibited through their projects submitted in their Preliminary Round applications.

View a complete list of the 2021 finalists below.

Final Round application reviews are open February 1 through February 26. Find out how to volunteer at www.aspirations.org/VolunteerReviewer.

The entire NCWIT AiC program platform is supported generously by Apple. AiC also receives support for specific national program elements; the NCWIT Collegiate Award is sponsored by Qualcomm and Amazon with additional support from Palo Alto Networks.

 

Finalists

• Isabel Abonitalla, Hunter College City University of New York (CUNY), Applying Frontal Cortex Metabolites Quantified by 7-Tesla 1H-MRS to Predict Multiple Sclerosis Subtype Through Recursive Partitioning and Conditional Inference Trees
• Fatima Ali, University of California - Irvine, Logistics Platform for the Farmlink Project
• Fatma Arslan, University of Texas - Arlington, Semantically-Informed Data-Driven Factual Claim Verification
• Hannaneh Barahouei Pasandi, Virginia Commonwealth University, A Learning-Based Framework for Self-Driving Design of Networking Protocols
• Sarah Bloom, Stanford University, Suryodaya Web App to Remote Control Configurations and Visualize Data from Low-Cost, Energy-Efficient Greenhouse in Rural India
• Amanda Bolden, University of Dayton, Smart Cane
• Alicia Boyd, DePaul University, Intersectional Quantitative Analysis of the #MeToo Movement
• Jacqueline Brown, Marshall University, A Theil Index-Based Countermeasure Against Advanced Vampire Attack in the Internet of Things
• Isabel Cachola, Johns Hopkins University, TLDR: Extreme Summarization of Scientific Documents
• Leqian (Emma) Cai, Indiana University - Bloomington, Deicing Robot on High Voltage Wire
• Isha Chakraborty, California Institute of Technology (Caltech), A Novel Application of Polygenic Risk Scores To Transcription Phenotypes
• Hope Chambers, University of Oklahoma, Cerebral Palsy Symbiotic Robot
• Hanjie Chen, University of Virginia, Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
• Hannah Chen California Institute of Technology (Caltech), Evaluating Operational Implementation of the Deep Space Network's Delay Tolerant Networking (DTN)
• Alexandra Chin, Wellesley College, Olfactory Communications System
• Anoushka Chintada, University of California - Los Angeles, Confirming the Existence of K2 Candidate Exoplanets Using the Transit Method
• Shivali Choudhary, California State University - East Bay, IRFIS
• Tara Chugh, University of Chicago, COVID-19 Policy and Mobility Data Science Project
• Kira Corbett, Oregon State University, Synthesis: A Robotics Simulation Tool to Combine CAD and Code
• Audrey Cui, Massachusetts Institute of Technology (MIT), From Pixel to Paragraph: A Deep Artwork Analysis Paragraph Generator
• Meenakshi Das, Auburn University, Accessible Block-Based Programming for K-12 Students with Visual and Hearing Disabilities
• Ukamaka Ezimora, University of California - Merced, Sepia Sisters's Voting Game / Python Voting System
• Erica Fagnan, University of California - Santa Barbara, Graph Theoretic Treatment of Nanocarbon Structures
• Katelyn France, University of Minnesota - Duluth, "Anaphylactic Shocker!" Creating Novel Medtech Devices and Supporting the Next Generation of Womxn in STEAM
• Kyla Gabriel, University of Alabama - Birmingham, COVID-19 Environmental Screening
• Vinitha Gadiraju, University of Colorado - Boulder, BrailleBlocks: Braille Toys for Collaborative Literacy Learning
• Patricia Garcia, Florida International University, College Thrifts
• Brianna Garland, Stevens Institute of Technology, Design of Grail Automated Healthcare Records
• Megan Goulet, Rensselaer Polytechnic Institute, Health Empowerment by Analytics, Learning, and Semantics (HEALS) Project
• Jennifer Guerrero, City Colleges of Chicago - Wilbur Wright College, PlanIt
• Rachel Guo, Harvard University, Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery
• Erin Howard, Western Washington University, Leveraging Statistical Analysis to Develop Labels for Astronomical Time Series Data
• Emma Hubbell, Quinnipiac University, Figure it Out: a Game to Increase Data Driven Decision Making in Public Health
• Sneha Iyer, University of Virginia, An AI application to Diagnose Melanoma by Analyzing Image Files
• Israa Jaradat, University of Texas - Arlington, Automatic Cherry-Picking Detection and Correction in Textual Data
• Dana Joseph, Yale University, Understanding Cardiac Hypertrophy Through Computational Models of Eccentric Heart Contractions
• Johanna Karras, California Institute of Technology (Caltech), Comparing Regularized Maximum Likelihood and Deep Neural Network Methods for Black Hole Imaging
• Lauren Klein University of Southern California, Automated Analysis of Infant-Mother Coordination
• Aparna Kumar, Columbia University, Natya*ML
• Kirthi Kumar, University of California - Berkeley, Developing Novel Computational Models for Prescription and Illicit Drug Addiction Dynamics in the COVID-19-Amplified Opioid Epidemic
• Caitlin Lau, Cornell University, Drag Augmented Reality Toolkit
• Laura Lewis, California Institute of Technology (Caltech), Implementing Remote-State Preparation on a Noisy Intermediate-Size Quantum Device
• Kaitlyn Ludlam, University of Florida, AstroBot STEM NonProfit Corp./astrobotstem.org
• Suchita Lulla, University of Colorado - Boulder, Understanding PCR Primer Bias and its Impact on the Study of Var Genes in P. Falciparum
• Cassandra Marcussen, Columbia University, Parallelized Parsing for Fast Machine Learning Systems
• Adriana Martinez, Carnegie Mellon University, Autolab
• Nicole Meister, Princeton University, Bringing Technology to Conservation Groups by Creating Accessible Mangrove Monitoring and Classification Tools
• Maram Muhsen, Indiana University - Bloomington, Folic Acid Supplementation Rescues Valproic Acid-Induced Developmental Neurotoxicity and Behavioral Alterations in Zebrafish Embryos
• Divya Nagaraj, Stanford University, Weak Labeling Pipeline for Clinical Information Extraction from Unstructured MRI Notes
• Chariane Nkengfack, Fairleigh Dickinson University, Toute
• Obianuju Okafor, University of North Texas, Helping Students with Cerebral Palsy Program via Voice-Enabled Block-based Programming
• Melika Osareh, University of North Carolina - Greensboro, 2D-Clinostat Testing for Gravity Randomizing Effect on Arabidopsis Thaliana Plants
• Abigayle Peterson, Western Washington University, Magnify Wellness
• Yao Hodalo Poudima, University of Maryland - College Park, CerSmart
• Anika Pruthi, College of New Jersey, SMILE: A Novel Diagnostic and Monitoring Tool For Facial Paralysis
• Isha Puri, Harvard University, A Scalable and Freely Accessible Machine Learning Based Web Application for the Early Detection of Dyslexia
• Evani Radiya-Dixit, Stanford University, Learning Efficient Natural Language Processing Models
• Kimari Rennis, New York University, I Forgot How to Cry
• Alexandra Rindone, Johns Hopkins University, High-Resolution Quantitative 3D Imaging of Blood Vessels and Bone Cells in the Skull
• Sarah Robertson, Indiana University - Bloomington, Construction of Cancer-Associated circRNA-miRNA Networks
• Devika Shanbhag, Carnegie Mellon University, Power Plane Design Using Reinforcement Learning
• Nikita Sietsema, Calvin College, Train Go Sorry
• Anika Singh, University of Texas - Austin, Object Classification Using Segments of Point Cloud Data for Tactile Sensing
• Mabel Smith, University of Virginia, Zon Loopt Running Routes
• Jenna Sorsen, Bethel University - Saint Paul, Lights for Lives
• Ashley Suh, Tufts University, CAVA++: An Automatic Visualization Recommendation System via Knowledge Graphs for Data-Enriched Exploration
• Marissa Sumathipala, Harvard University, Network Medicine Platform for Predicting Noncoding RNA Drug Targets
• Alexandra Szewc, Johns Hopkins University, Cytoscope: CD4 Count Estimator
• Farita Tasnim, Massachusetts Institute of Technology (MIT), Real-Time Decoding of Facial Strains via Conformable Piezoelectric Interfaces
• Angelique Taylor, University of California - San Diego, Robot Social Navigation in the Emergency Department
• Maya Venkatraman, Columbia University, Adding YouTube HLS Output to OBS (Open Broadcaster Software)
• Sherrie Wang, Stanford University, Mapping Crop Types in India with Smartphone Crowdsourcing and Deep Learning
• Yaxuan Wang, Rice University, Speedup of Bayesian Inference of Species Phylogenies
• Zhixue Wang, Duke University, Big Data for Reproductive Health (bd4rh)
• Chrysm Watson Ross, University of New Mexico, COVID-19 Misinformation Analysis
• Linda Weng, University of Michigan, Vitam
• Arissa Wongpanich, University of California - Berkeley, Asynchronous Methods for Scaling Up Distributed Deep Learning on High Performance Computing Clusters
• Sirinda Wongpanich, University of California - Berkeley, Natural Language Processing and Deep Learning for Precision Healthcare
• Victoria Xin Stanford University, Predicting Antihypertensive Medication Efficacy through Machine Learning Survival Analyses in a Revascularized Patient Population
• Alice Yeh, University of California - Berkeley, GEM: Leveraging Wearable Technology for Personal Safety
• Maya Zeng, El Camino College, Portable Wireless Signal Booster Concept Paper
• Victoria Zhang, Harvard University, Patterns and Symmetries in Spiking Neural Networks

 

Aspirations Community: 
National Award

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