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Filip Mazurek

Electrical & Computer Engineering PhD Student

Duke University

About

I am a fourth-year graduate student in Electrical and Computer Engineering at Duke University advised by Professor Ken Brown. My research focuses on extracting the most performance possible from current-generation quantum computers. Additionally, I am passionate about the startup space and am working to build the technical side of Avenu, a company focused on creating a better ticketing experience for nightlife goers, promoters, and vendors.

Find my resume here.

Interests

  • Quantum Computing
  • Control Software
  • Statistical Analysis

Education

  • Ph.D. in ECE, 2025 expected

    Duke University

  • M.S in ECE, 2023

    Duke University

  • B.S. in Computer Science, 2018

    Duke University

Publications

Rigorous Evaluation of Computer Processors with Statistical Model Checking

56th IEEE/ACM International Symposium on Microarchitecture (MICRO)
PDF Code

Modular Architecture for Classical Simulation of Quantum Circuits

2022 IEEE International Conference on Quantum Computing and Engineering (QCE)
PDF

Projects

Control Software Implementation

Implemented a quantum computer control system using DAX, an extension of ARTIQ. Linked to an open-source example implementation.

Avenu iOS App

I am the lead engineer at Avenu, and have created this iOS app with my team of software engineers. Linked to the Apple App Store.

SPA: SMC for Processor Analysis Framework

The associated software from my publication, “Rigorous Evaluation of Computer Processors with Statistical Model Checking”

Experience

 
 
 
 
 

Technology PhD Intern

Accenture

Jun 2023 – Aug 2023 San Francisco, CA [Remote]
  • Creating novel methods of quantum circuit decomposition to run large circuits on small quantum computers (in progress)
  • Collaborated with client companies in the financial sector to incorporate quantum computing into their workflows
 
 
 
 
 

Research Assistant

Department of Electrical and Computer Engineering at Duke University

Aug 2020 – Present Durham, NC
  • Developed novel statistical techniques to create confidence intervals based on statistical model checking (SMC)
  • Used SMC to improve computer simulation analysis. Resulted in the publication and accompanying library “SPA”
  • Applying SMC to improve parameter finding in quantum computer calibration (in progress)
 
 
 
 
 

Research Intern

Argonne National Lab

May 2020 – Aug 2020 Chicago, IL [Remote]
Principal Investigator: Dr. Yuri Alexeev

  • Investigated optimal combination order for quantum computing simulation based on tensor networks
  • Created testing framework for quantum simulation in preparation for running on the Aurora exascale supercomputer
 
 
 
 
 

Senior Software Engineer

Avenu

Mar 2019 – Present Remote
  • App Store Link
  • Lead an engineering team to build the Avenu iOS app and set up all supporting infrastructure
 
 
 
 
 

UX Designer

Appian

Aug 2018 – Aug 2019 McLean, VA
  • Created detailed feature wireframes as expert on iOS and Android application design
  • Developed training coursed for Designers and Product Managers to standardize design procedures
 
 
 
 
 

Software Engineer Intern

Appian

May 2017 – Aug 2017 McLean, VA
  • Designed and created a new Appian feature to simplify pulling data from a database and displaying it in a custom layout
  • Used Java and SAIL, Appian’s proprietary language, to create the feature backend
 
 
 
 
 

Teaching Assistant

Department of Electrical and Computer Engineering at Duke University

Jan 2017 – May 2021 Durham, NC
  • TA for Computer Architecture (CS/ECE 250) for 3 semesters during my undergraduate, 1 semester in my graduate career
  • Taught students computer architecture principles and the basics of C during discussion sections
 
 
 
 
 

Research Assistant

Department of Biomedical Engineering at Duke University

Jan 2016 – May 2016 Durham, NC

  • Principal Investigator: Kathryn Nightingale

  • Repaired 3D meshes of ultrasound transducers in CAD software to develop better transducer mounts

 
 
 
 
 

Research Engineering Technician

National Institute for Occupational Safety and Health (NIOSH)

May 2015 – Aug 2015 Morgantown, WV

  • Principal Investigator: Dr. Jeffrey S. Reynolds

  • Used Matlab machine learning to optimize classification parameters for rat breathing data

  • Found and corrected data bias based on plethysmography (breathing) chamber used in experiment

 
 
 
 
 

Research Assistant

Department of Biology at Duke University

Sep 2014 – May 2015 Durham, NC

  • Principal investigator: Jenny Tung

  • Performed differential counts on baboon blood treated with the Wright-Giemsa stain to investigate the effects of baboon colonies living near human populations.

Contact

  • Chesterfield
    Duke University
    701 W Main St
    Durham, NC 27701