Experience

Nasheath Ahmed

Queens, NY · nasheathahmed00@gmail.com

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Education

Hackensack Meridian School of Medicine

Expected Doctor of Medicine (M.D.) - May 2030

Brown University

Honors: magna cum laude

  • B.S. in Computer Science — May 2022
  • A.B. in Biology — May 2022

Professional Experience

Bioinformatics Software Engineer

Icahn School of Medicine at Mount Sinai, New York, NY

Sept. 2022 — Nov. 2024

  • Developed full stack web application software using Flask, NextJS, and React to visualize various expression datasets across different diseases.
  • Created bioinformatics workflows using existing APIs to process cancer datasets and more general RNA-seq datasets.
  • Mentored and assisted with big-data bioinformatics projects for undergraduate summer interns.

Data Science Intern

Envisagenics, New York, NY

July 2022 — Sept. 2022

  • Created a pipeline that determined expression ranges of genes in normal tissues using outlier analysis.
  • Conducted data analysis using R and Python libraries to process gene expression data.

Undergraduate Bioinformatics Researcher

Icahn School of Medicine at Mount Sinai, New York, NY

June 2021 — August 2021

  • Utilized genomics data to study associations between variable tandem repeats and SNPs linked to disease development.
  • Identified predisposing variations across the genome that could cause repeat expansions to occur.
  • Designed scripts and conducted data cleaning on genomics datasets using Python and Excel.

Data Science Intern

New York Stem Cell Foundation, New York, NY

June 2021

  • Worked on a focus-assessment pipeline to determine the quality of iPSC cellular images using statistical methods and deep learning techniques that went into deployment.
  • Conducted statistical and data analysis on images, including Fourier transformations, to evaluate algorithmic approaches to the problem.
  • Developed a deep learning model in Keras using ResNet, then fine-tuned and edited layers.
  • Designed computational workflows to integrate into a robotic platform for the automated derivation of induced pluripotent stem cells.
  • Developed a conditional GAN project to predict the outcome and growth of pluripotent stem cells.

Undergraduate Machine Learning Researcher

Samuel Cho Spine Laboratory, New York, NY

June 2019 — Sept. 2019

  • Conducted clinical research in orthopedics with a focus on CT and MRI scans.
  • Implemented a CycleGAN model in PyTorch to convert thousands of CT scan images into MRI scans.
  • Developed skills in convolutional neural networks and image preprocessing using Python.
  • Conducted research into the clinical applicability of CT-to-MRI conversion and related algorithms.
  • Created segmentation masks of spine X-rays for a lumbar fusion project.

Relevant Projects

D2H2

Icahn School of Medicine at Mount Sinai, New York, NY

Dec. 2023

  • Built a Flask-based full stack web application to process bulk and single-cell RNA sequencing datasets.

Farmulator

Brown University, Providence, RI

May 2020

  • Built a Java full-stack farming simulator game using Spark, SQLite, and React.
  • Implemented the backend, database queries, and the connection between the front end and back end.
  • Developed the React front end to support interaction with the map and game world.

Bone Suppression

Brown University, Providence, RI

Dec. 2020

  • Built a Python project using autoencoders and pix2pix to remove bone shadows from X-ray images for disease classification.

Leadership & Volunteer Experience

Volunteer

YAI, New York, NY

Jul. 2024 — Present

  • Help set up activities for children and adults with intellectual and developmental disabilities.

Youth Justice Board

New York, NY, New York, NY

Sep. 2017 — May 2018

  • Served as a facilitator and advocate in reform efforts focused on homeless youth in New York City.
  • Assisted in creating policy reform efforts through group presentations and focus groups.

Skills & Interests

Computer

Beginner: C++, x86 Assembler Language

Intermediate: Flask, JavaFX, PyTorch, Keras, JavaScript, C, SQL, HTML/CSS, NextJS/React

Advanced: Python, Java

Interests

Orthopedics, Pain Management, Machine Learning, Software Development, Neurology, Cell Biology, Cancer Research, Bash Scripting, Computational Biology, Genetics, Stocks and Investment, Compilers, Operating Systems, Graphic Design