Linger Xu
Postdoctoral Researcher at Indiana University Bloomington
Bloomington, Indiana, United States
Summary
👤
Senior🎓
Top SchoolLinger Xu is a postdoctoral researcher and software-savvy cognitive scientist with 9+ years of experience quantifying multimodal sensory-motor coordination in naturalistic infant-parent and human-robot interactions. She combines deep expertise in wearable sensors, egocentric video processing, time-series modeling (e.g., cross-recurrence and Granger causality), and real-time perception pipelines to build large open datasets and reproducible data-collection systems. With dual PhDs in Computer Science and Cognitive Science, she has a decade of hands-on software engineering—calibration, synchronization, detection/segmentation—and a strong publication record in top venues. Linger also brings a decade of teaching and mentorship in ML and programming, plus proven leadership running cross-disciplinary team science projects. An interesting detail: she has developed one of the field’s large-scale eye-tracking time-series resources (PEEKbank) that underpins open research in developmental attention.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering - BE, Computer Software Engineering, Bachelor of Engineering - BE, Computer Software Engineering at Nanjing UniversityMaster's degree, Computer Science, Master's degree, Computer Science at Indiana University Bloomington
Github Skills (6)
dtw9
matlab9
data-mining7
time-series6
django2
python2
Programming languages (3)
Github contributions (5)
lingerxu/granger_point_process
Jun 2018 - Nov 2018
Contributions:7 commits, 5 pushes, 1 branch in 4 months
findstructureintime/Time-Series-Analysis
Mar 2019 - Oct 2020
This is the github repository containing the four Matlab code modules with sample examples introduced in the paper, Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series.
Contributions:1 release, 59 commits, 58 pushes in 1 year 7 months
analyzingdtwmatlabfindingdata-mining
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