Doris Jung-Lin Lee

I am a first-year graduate student at University of Illinois, Urbana-Champaign. My current research interest lies in data mining and human-computer interaction. I have recently graduated from UC Berkeley in physics and astrophysics where I worked on learning-within-microtask interventions for crowdsourcing citizen science, scalable interactive genomics visualizations, clustering comparisons of residential electricity datasets, accessible fabrication technologies, mining large cosmological datasets, and supercomputer simulations of astrophysical objects. I am interested in creating technology that bridges the knowledge and skillsets of different communities.

Publications

Crowdclass: Designing classification-based citizen science learning modules

HCOMP 2016

Skintillates: Design and Prototype Epidermal Interactions

DIS 2016 Honorable Mention Award

‘I dont want to wear a screen’: Probing perceptions of and possibilities for dynamic displays on clothing

CHI 2016 Best Paper Award

Creating updated, scientifically-calibrated mosaic images for the RC3 Catalogue

Past Projects

Fabrication tools & Wearables

Shrinky Circuits

Developing a rapid prototyping technique for building circuit boards without involving conventional PCB/chemical etching procedures.

Project Jacquard

Collaboration with Google Advanced Technologies and Projects (ATAP) group on a new type of interactive wearable technology.

Skintillates

Creating low-cost, accessible fabrication technique for on-skin wearable electronics that can integrate with a variety of electronic components.

Cosmological Data Mining
Pattern Discovery and Large-Scale Data Mining on Cosmological Datasets. [Poster]
Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016).

RC3 Mosaics

Designing a pipeline for generating scientifically calibrated images of large nearby RC3 galaxies using an adaptive algorithm for positional update.

Halo Finder

Applying unsupervised machine learning algorithms to cosmological simulations for finding dark matter haloes.

SDSS Imaging Systematics

Investigating how systematics affect the imaging data quality from the Sloan Digital Sky Survey.

Astrophysical Fluid Simulations

Star Formation

Magnetohydrodynamics, adaptive mesh refinement simulations for the evolution of a collapsing dense core.

Accretion Disk


Investigating the effects of Papaloizou-Pringle and magnetorotational instabilities in accretion disk torus.

astroSim-tutorial


Jupyter Notebook tutorials on how to build, run, and analyze astrophysical simulations.