Syed Hussain Ather

416-***-**** ad3ckg@r.postjobfree.com GitHub LinkedIn Zionsville, IN

TECHNICAL SKILLS

Technologies: C, C#, C++, CSS, Flask, Go, Haskell, HTML, Java, JavaScript, Julia, LaTeX, MATLAB, Perl, Python, R, React, Ruby, SQL, Swift, TypeScript, Unix, XML

Tools: Amazon Web Services (AWS), Bezel, Git, Docker, Kubernetes, RStudio, Blender, Maya, Meta Spark AR Studio, SQLite, pgAdmin, Unity, Tableau, Figma, VisionOS

Techniques: Agile Development, OOP, REST, Database Design, Modelling, Algorithm Design, Scientific Computing, Data-driven animation, Optimization Machine Learning SOFTWARE DEVELOPMENT PROJECTS

3D Fashion Carousel Viewer (Front-end Project): [Omnia]

● Fashion/clothing viewer using spatial computing technology, displaying using VisionOS Pro Technology.

● 2nd Place in VisionOS Pro Project for GENESIS x Omnia XR Hackathon. 3D Model Visualizer (Full stack Project): [GitHub]

● Capstone project for Coding Temple 2023 cohort.

● Created augmented reality (AR) tool to download and visualize 3D models, functionable with QR code.

● Built with Javascript, React.js, HTML/CSS.

● Developed API registration for downloading files from online sources. Return on Investment Rental Property Analysis (Back-end project): [GitHub]

● Created an app that calculates the Return on Investment (ROI) for a rental property with API integration and feature engineering visualization given sample rental prices.

● Determines whether a good investment is made based on rental home Zillow Home Value Index (ZHVI). EXPERIENCE

Orthogonal Research and Education Lab / Research Intern (Champaign-Urbana, IL) 01/2022 – Present

● Performed voluntary work on open-source projects relating to cognitive science, simulation theory, and AI/ML with the goal of publishing manuscripts and examining phenomena surrounding the developmental dynamics of the human embryo.

● Published a philosophy paper examining the debates between realism and anti-realism in the context of cognitive science.

University of Toronto / Graduate Researcher (Toronto, ON) 05/2020 – 05/2023

● Conducted a comparative analysis of modeling techniques to characterize the spatiotemporal features of brain connectivity structures underlying schizophrenia, enhancing understanding of its etiology and pathophysiology.

● Lead a team using Agile process to perform deep learning based parameter estimations.

● Developed a comprehensive quantitative literature review on linear dynamical systems in spectral theory, contributing to developing a unified framework for connectivity models.

● Initiated and lead a group, STEMXR, devoted to developing and designing educational mixed reality (XR) programs and courses for high school students to complete. University of California, Santa Cruz / M.S. Student (Santa Cruz, CA) 09/2019 - 04/2020

● Reported, edited, and published pieces in media outlets on STEM to publicize content and research to wider audiences.

● Used data journalism techniques to analyze and visualize research on mineral distribution across the United States, effectively presenting complex information through interactive data visualizations and compelling narratives.

● Freelance work includes bylines in Science, Scientific American, and others. National Institutes of Health / Bioinformatics Trainee (Bethesda, MD) 06/2017 - 06/2019

● Developed an optimized RNA-Seq protocol for analyzing zebrafish brain single-cell sequencing data, resulting in 100% increase in analysis efficiency.

● Simulated the neuronal dynamics of various models to provide insight into zebrafish activity for the purpose of studying neuropsychiatric disorders.

● Analyzed machine learning methods, resulting in 70% improvement in predicting genetic expression.

● Performed large-scale simulations of neural circuitry and synapse models, optimizing parameters through modeling to improve workflow efficiency by 40%.

● Examined spike train statistics, determining correlation strength with ~95% accuracy.

● Engaged in workshops for statistical design, data exploration, and analysis of imaging data for the purpose of guiding and leading other researchers to use these tools effectively.

● Modeled membrane channel dynamics using NEURON and the Blue Brain Project, assessing stochastic, deterministic, and statistical features.

● Compared processes in statistical physics using stochastic differential equations.

● Compared statistical techniques in R for challenges in genetics and neuroscience.

● Solved programming puzzles for the heuristics and methods behind them.

● Surveyed techniques across neuroscience, mathematics, physics, computer science, biology, and philosophy. Conte Center for Computational Neuropsychiatric Genomics / Research Intern (Chicago, IL) 05/2015 - 07/2015

● Performed RNA-Seq analysis using STAR aligner, identifying dozens of significantly expressed genes in the human brain.

● Updated the human brain transcriptome from PacBio Iso-Seq data, visualizing new isoforms through differential equations and graphs.

Indiana University-Bloomington/ Undergraduate Research Assistant (Bloomington, IN) 08/2013 - 05/2017

● Engineered software for constructed gene trees reconciled with MUL-trees to identify and resolve polyploidy events in simulated organisms; parallelized pipeline to increase effectiveness of heavy-input reconciliations.

● Converted scripts between programming languages Python and Fortran for Monte Carlo particle physics simulations; performed statistical analyses of energy and momenta collisions between particles.

● Compared the effectiveness of whole-genome alignment methods in detecting indel mutations.

● Created algorithms for bioinformatics solutions including sorting, searching, and performing operations on biological data such as splice junctions, de Brujin graphs, and RNA strings.

● Summarized and discussed implications and methods of research papers during meetings. Boyce Thompson Institute / Research Intern (Ithaca, NY) 05/2014 - 07/2014

● Performed RNA-Seq analysis using Tuxedo suite on X tomatoes to extract genetic information, revealing insights into growth mechanisms behind transcription and protein synthesis.

● Implemented novel algorithms, resulting in 60% optimization of run-times for virus detection software. EDUCATION

University of Toronto 2020-2023

Ph.D. in Medical Sciences

University of California, Santa Cruz 2019-2020

M.S. in Science Communication

Indiana University-Bloomington 2013-2017

B.A in Physics

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