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Hello! My name is Arion and I'm a student studying molecular and cellular biology @ UIUC. The realm of biology I (currently) enjoy most is some mixture of imaging, bioinformatics, and systems biology. Currently my primary interests lie in the application of machine learning and computational analysis to biological concepts. When I have rare additional time, I enjoy spending time talking about football (American and European) and reading (currently working through Brothers Karamazov by Dostoevsky). I also have a academic interest in philosophy, specifically ethics and metaphysics, as well as Hindu philosophy such as Advaita Vedanta.

Current

Research

• Mobility and Fall Prevention Research Laboratory (FA23-Present)

  • Developing a model of fall risk and frailty using an analysis pipeline built in R.
  • Characterizing differences in postural control in community dwelling older adults using clinical measures.
  • Model changes in postural control strategy using MATLAB stochastic control model.

• Biomedical Engineering and Informatics Intern @ Weis Lab (SU23-Present)

  • Developed an ImageJ plugin with Java to quantify biomarker distribution along the gastrointestinal unit axis.
  • Created novel computational analysis pipelines and contributed to the development of computational model-based image analysis methodologies to guide cancer microscopy imaging analysis.
  • Writing a process paper titled "XXXX: A gastrointestinal spatial pathology plugin for ImageJ"
  • Writing a paper concerning neonatal rat pup intestinal motility using PAI

Club(s)

• Member of UIUC BMES: UIUC Chapter of Biomedical Engineering Society (FA23 - Present)
• Officer of iPlan (FA24 - Present)

Former

Research

Research Assistant

• Duration: FA 22 - SP 23
• Location: UIUC Language & Learning Lab, Urbana-Champaign, IL
• Responsibilities:
  • Used internal tools to code and analyze audio data.
  • Assisted in the development of further internal tooling with Python.
  • Focused on analyzing large naturalistic datasets with computational modeling techniques.

Research Assistant: Removing Motion Effects in Brain MRIs

• Duration: SP 22 - SU 22
• Location: Informatics Skunkworks University of Wisconsin-Madison, Madison, WI
• Responsibilities:
  • Used deep learning correction methods to correct rapid motions during an MRI with PyTorch.
  • Improved motion correction for challenging cases with an abundance of rapid motion using Machine Learning.

Research Assistant: Optimizing Work Functions of Perovskite Oxides

• Duration: FA 21
• Location: Informatics Skunkworks University of Wisconsin-Madison, Madison, WI
• Responsibilities:
  • Utilized computational statistical analysis to verify the strength of data.
  • Analyzed the data of Perovskite Oxides using MongoDB.

Internships

• Software Engineering Intern @ Site IQ (SU22)