ars.me Ariya Shajii's personal website

Curriculum Vitae

Education

Ph.D., Computer Science (in progress)
Massachusetts Institute of Technology

S.M., Computer Science
Massachusetts Institute of Technology, June 2018
GPA: 5.0/5.0

B.S., Computer Engineering, Summa Cum Laude
Boston University, May 2016
GPA: 4.0/4.0

Research

Graduate research is focused on computational genomics and, in particular, on developing fast, accurate and easy-to-use algorithms and software for processing the ever-increasing genomic data that is being produced. Focused primarily on third-generation sequencing data, and applications pertaining to it like sequence alignment and genotyping. Most recent project is developing a domain-specific language for writing computational genomics applications, which has required also delving into the field of compilers.

Skills

  • Extensive programming experience with C, C++, Python and Java. Proficient with Scala and Matlab.
  • Worked extensively on POSIX systems, incl. several GNU/Linux distributions and macOS.
  • Experienced with a range of bioinformatics software, pipelines and formats, especially those pertaining to sequencing.
  • Worked extensively with the LLVM compiler infrastructure; moderately with Android, Amazon AWS, MongoDB, Kali Linux, and embedded systems development.

Experience

Research Intern (2013—2016)

Berger Lab, MIT Computer Science and Artificial Intelligence Laboratory

  • Worked in Prof. Bonnie Berger's group in MIT CSAIL in computational biology, developing improved algorithms for genotyping/variant calling.
  • Work predominantly entailed C and Python programming on Linux systems.
  • http://lava.csail.mit.edu

Intern (Summer 2013)

Charles River Analytics, Cambridge, MA

Research Intern (2012—2013)

Harvard University, Department of Mathematics

  • Interned for Fields medalist Prof. Shing-Tung Yau in Harvard University's Mathematics Department. Primarily focused on a subset of algebraic topology relevant to graph theory. Work pertained to computationally determining certain properties of random directed graphs. A range of programming languages was used, from Java to Python to Matlab.
  • Led to Bronze Award in Yau High School Mathematics Awards in Beijing, China.
  • https://github.com/arshajii/digraph-homology

Teaching

Teaching Assistant and Grader (Spring 2015)

Applied Algorithms and Data Structures for Engineers

Teaching Assistant and Grader (Spring 2015)

Introduction to Software Engineering

Publications

Miscellaneous