Avinash Kondiboyina

Experience

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  University of Toronto

  Sept 2012 - Aug 2014

  Successfully investigated the effect of Reynolds number on primary osteocytes during fluid flow in microfluidic channels.Modified a well-plate actin staining protocol to allow actin staining within microfluidic channels.Automated morphological and apoptosis analysis of osteocytes via macros in ImageJ to increase efficiency of data processing. Efficiently managed a large number of check-ins and check-outs of guests (nearly 300/day).Maintained a thorough account of the large cash flow of nearly 10,000 CAD/day to prevent any discrepancies.Dealt with complaints from the residents in a professional and courteous manner.Responded to emergency situations, notified appropriate authorities and kept a detailed note of the incidents.

  • Research Assistant

    Sept 2013 - Aug 2014

  • Front Desk Steward

    Sept 2012 - Aug 2014
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  Imperial College London

  May 2013 - Aug 2013

  Research Assistant

  Achieved cell survival during stretching by re-machining parts of the device out of stainless steel. Previous 3 researchers over a span of 2 years were unsuccessful in achieving this objective.Successfully investigated the morphological and genetic changes in endothelial cells seeded on a silicone membrane and subjected to various physiologically relevant stretch patterns via a cell-stretching device.Repaired the gears of the device to ensure smooth movement of its shafts and resoldered the wiring to ensure a robust connection.Built an external interrupt that allowed stepping through the stretch cycle to verify uniform equi-biaxial stretch using MATLAB and a camera to track dots on the silicone membrane. Show less

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  Imperial College London

  Oct 2014 - Sept 2015

  Graduate Research Assistant

  Successfully investigated the overlap between atherosclerosis and hemodynamic shear stress metrics in mouse carotid arteries using fluid-structure interaction (FSI), which combines computational fluid dynamics (CFD) and solid deformation modeling.Uncovered a hidden pattern from very noisy data by creating a novel algorithm in MATLAB, which was pivotal to a publication.Improved a Python script by greatly increasing its robustness and significantly reducing its runtime from 24 hours to 8 hours.Automated the entire project workflow via MATLAB (for FSI model setup), PBS (for Linux-based supercomputer runs), and Python (for data analysis) scripts, enabling a large number of models to be run simultaneously.Supervised a Masters student by providing training for relevant techniques, assigning weekly goals, and troubleshooting. Show less

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  Reliance Life Sciences Pvt. Ltd.

  Jan 2016 - Mar 2016

  Intern

  Successfully developed a cross-platform desktop application in Python that utilized linear programming models to optimize the production process of the company’s multiple manufacturing plants, based on maximization of profit. Incorporated safeguards in the program against crashes due to model infeasibility by offering reductions in certain product requirements to meet plant capacities, while still maintaining maximum overall profitability.

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  Cactus Communications

  Aug 2016 - May 2017

  Associate Editor

  Prepared publication-ready manuscripts for authors by revising the language, structure, and format of the manuscripts. Also helped prepare responses to reviewer comments.Trained freelancers and provided detailed feedback to consistently maintain a high quality of manuscripts.

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  University of Melbourne

  Apr 2018 - now

  Organised and analysed diverse clinical datasets from multiple international collaborators containing over 10,000 participants.Automated a manual vessel stretching device using stepper motors and custom-built mounts. Designed a user- friendly mobile application to allow wireless control of the device.Designed a custom data-compression algorithm for large simulation files that reduced file size from 40 MB to 18 MB.Increased the efficiency of complex code by parallelizing it and reducing the computation time from 10 days to 10 hours. Show less

  • Mathematics Tutor

    Mar 2019 - now

  • Doctoral Student

    Apr 2018 - Sept 2022
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  Navi Medical Technologies

  Dec 2019 - Mar 2020

  Intern

  Designed custom software to test the accuracy and precision of a novel medical device.Automated the testing of new algorithms when they were uploaded to GitHub.

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  Outcome Health

  Nov 2022 - now

  Postdoctoral Researcher

  Analysed large datasets (14 million patients) to understand differences in healthcare utilization of participants with disability vs the general population.Supervised students and used parallel processing in python to speed up the runtime of their programs from 15 days to 5 hours.

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  Murdoch Children's Research Institute (MCRI)

  Nov 2022 - now

  Postdoctoral Researcher

  Automated several workflow pipelines and reduced person-hours required for the tasks from several weeks to just a few minutes.Extracted and cleaned data from several clinical databases and used machine learning to build predictive models of the health outcomes of high-risk infants.