HDSI awards 27 scholarships to undergraduate researchers

  Halıcıoğlu Data Science Institute at University of California San Diego has announced its second annual undergraduate research scholarships. HDSI has awarded to 27 students funding 20 projects. The Undergraduate Research Scholarship Program awards $2,500 to each student project, all of them guided by experienced mentors. The yearlong fellowships focus on providing hands-on training to emerging data science talent. All UC San Diego undergraduate students enrolled full-time are eligible to apply for research funding. Each researcher works with a mentor to develop analytical skills, data science portfolios, and foster novel data-driven approaches to problem solving. The research program is geared to producing results, with students submitting final reports highlighting accomplishments. Learn more about the HDSI Undergraduate Scholarship program. Projects and awardees:
  • Students’ gender biases toward professors
    • Catherine Eng, Cognitive and Behavioral Neuroscience
  • Single-cell transcriptomics and web mining for rapid reverse genetics in plants
    • Kian Faizi, Molecular Biology
  • Vista: An end-to-end declarative transfer learning system for multimodal analytics with deep neural networks
    • Advitya Gemawat, Data Science
  • Quantifying the effect of redlining policies on racial segregation in America’s urban centers
    • Arunav Gupta, Data Science
  • Quantifying tennis player performance
    • Karthik Guruvayurappan, Data Science
    • Eric Jiang, Data Science
    • Shweta Kumar, Data Science
  • Mangrove mapping, image segmentation, and classification
    • Stanley Hicks, Electrical Engineering
    • Arden Ma, Electrical Engineering
    • Katherine Qi, Marine Biology
  • Using machine learning for diagnosis in oculofacial plastic surgery
    • Zhaoyi Hou, Data Science
  • Predicting the outcome of an NFL play using pursuit curve features
    • Justin Kang, Data Science
    • Shone Patil, Data Science
  • A supervised machine learning approach to predicting mild cognitive impairment (MCI) among diverse Latinos
    • Alexandra Keamy, Data Science
  • Building an inference model to classify Chinese computational propaganda bots
    • Nicole Lee, Data Science
    • Nikolas Racelis-Russell, Data Science
  • Effects of battle and journey metaphors on charitable donations for cancer patients
    • Alex Liebscher, Cognitive Science
  • Weather forecasting using hybrid model
    • Xiang Lu, Applied Mathematics
  • Reassessment of P2P credit risk modeling with macroeconomic factors
    • Samson Qian, Data Science
  • Video games and player retention
    • Sasami Scott, Data Science
  • How do humans convey what they perceive and know about objects in visual form?
    • Justin Yang, Cognitive Science and Math – Computer Science
  • Using geographic data and social media to predict the potential health problems
    • Shuyi Judy Yang, Data Science
  • Identifying biomarkers in recurrent Chronic Thromboembolic Pulmonary Hypertension (CTEPH) patients
    • Eric Yu, Data Science
  • How does visual context influence sketched representations of faces?
    • Julia Xu, Cognitive Science – Machine Learning and Neural Computation
  • ASL (American Sign Language) signs recognition
    • Xinrui Zhan, Data Science
  • 3D Wireframe Detection
    • Haoming Zhang, Data Science