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# Akash Ganesh

**Headline:** Student at The University of Texas at Austin
**Profession:** Learning Assistant
**Location:** Austin, Texas, United States

## About

Akash Ganesh is a Biomedical Engineering undergraduate at The University of Texas at Austin’s Cockrell School of Engineering, with a minor in Computer Science. Akash is focused on applying data, technology, and sustainable engineering approaches to healthcare and medical technology. His strengths include biomedical data analysis, tissue-engineering research, computational instruction, and laboratory process development. At UT Austin, Akash supports students as a Learning Assistant for Computational Fundamentals of Biomedical Engineering Design, tutoring more than 120 students across two courses and organizing weekly review sessions associated with measurable cohort-wide exam-score improvements. As an Undergraduate Research Assistant, he writes Python scripts to clean and analyze ECG and seizure-pattern datasets, refines ECG signal-segmentation thresholds, and co-authored a 2025 peer-reviewed Biomaterials Science review on exosome-based CNS drug delivery. During internships at Ocugen, Akash developed cryogel tissue-scaffold processes, created an ImageJ-automated Python image-analysis pipeline for more than 200 samples, and established protocols for production and quality control. He is committed to continual learning, solving real-world challenges, and pursuing opportunities to advance healthcare through academic, technical, and interpersonal skills.

## Services

- AutoCAD
- NumPy
- Web Development
- Cascading Style Sheets \(CSS\)
- HTML5
- PHP
- MySQL
- JavaScript
- Tutoring
- Rhetoric
- Particle Physics
- Microscopes
- Calculus
- Biomedical Engineering
- Numerical Analysis
- 3D Computer Aided Design \(3D CAD\)
- Fluorescence Microscopy
- Biomechanics
- Linear Algebra
- Programming
- Firebase
- Google BigQuery
- Linux
- Google Cloud Platform \(GCP\)
- PostgreSQL
- Scikit-Learn
- Git
- SciPy
- Docker Products
- MongoDB

## Highlights

- Tutored more than 120 students across two UT Austin courses as a Learning Assistant for Computational Fundamentals of Biomedical Engineering Design.
- Organized weekly review sessions at UT Austin that contributed to measurable exam-score improvements across the cohort.
- Supported student learning by assisting with classroom concepts, exam preparation, and assignment grading at UT Austin.
- Wrote Python data-processing scripts to clean and analyze ECG and seizure-pattern datasets as an Undergraduate Research Assistant at UT Austin.
- Refined ECG detection protocols by optimizing signal-segmentation thresholds.
- Co-authored a peer-reviewed review article on exosome-based CNS drug delivery, published in Biomaterials Science in 2025.
- Engineered cryogels for tissue-scaffold applications during an Ocugen CMC Process & Analytical R&D internship.
- Built a Python image-analysis pipeline with ImageJ automation to standardize cryogel-scaffold morphology measurements across more than 200 samples, replacing manual inspection.
- Standardized cryogel measurements using ImageJ and Python.
- Developed more than five cryogel production and quality-control protocols, reducing batch-to-batch variance and streamlining team reproducibility.
- Established more than five protocols for cryogel production, measurement, and maintenance.
- Proposed future mechanical and biomechanical testing to determine an optimal scaffold for tissue engineering.
- Maintained multiple human and bacterial cell cultures at Ocugen.
- Performed bacterial transformation on human embryonic kidney cells.
- Performed qPCR, ELISA, Biuret assays, and stability studies on hyaline-like cartilage tissue samples.
- Assembled and disassembled Tissue Culture Units that simulate knee-like environments for proliferation and attachment of artificial hyaline tissue.

## Experience

- **Learning Assistant at The University of Texas at Austin** (2024-01-01–present) — Supported students in understanding and applying classroom concepts, assisting with exam preparation and grading assignments.
- **Undergraduate Research Assistant at The University of Texas at Austin** (2022-06-01–present)
- **CMC Process & Analytical R&D intern at Ocugen** (2023-05-01–2023-08-01) — \- Engineered cryogels to be used for Tissue Scaffolds,Standardized different cryogels using ImageJ and Python and proposed future mechanical and biomechanical tests to determine optimal scaffold for tissue engineering - Established 5+ protocols for cryogel production, measurement, and maintenance. - Maintained multiple human and bacterial cell cultures, performed bacterial transformation on human embryonic kidney cells, Performed qPCR, ELISA, Biuret assay, and stability studies on hyaline-like cartilage tissue samples. -  Assembly and disassembly of Tissue Culture Units\(TCU\) for simulating knee-like environments for proliferation and attachment of artificial hyaline tissue
- **Undergraduate Research Assistant at UT Austin — Biomedical Engineering** (2022–2025) — Wrote Python data-processing scripts to clean and analyze ECG and seizure-pattern datasets refined ECG detection protocols by optimizing signal-segmentation thresholds. Co-authored a peer-reviewed review article on exosome-based CNS drug delivery, published in Biomaterials Science \(2025\).
- **Learning Assistant at UT Austin — Computational fundamentals of Biomedical Engineering Design** (2024–2025) — Tutored 120+ students across two courses organized weekly review sessions that contributed to measurable exam score improvements across the cohort.
- **Research And Development Intern at Ocugen** (2023–2023) — Built a Python image-analysis pipeline using ImageJ automation to standardize cryogel scaffold morphology measurements across 200+ samples, replacing manual inspection. Developed 5+ production and QC protocols for cryogel fabrication, reducing batch-to-batch variance and streamlining reproducibility across the team.

## Education

- Minor, Computer Science — The University of Texas at Austin
- Bachelor's degree, Biomedical/Medical Engineering — The University of Texas at Austin
- Master of Science, Computer Science — Georgia Institute of Technology (2026–2027)

## FAQ

### What does Akash do?

Akash is a Biomedical Engineering undergraduate at The University of Texas at Austin’s Cockrell School of Engineering and has a minor in Computer Science. He focuses on applying technology, data, and innovation to healthcare and medical technology.

### What is Akash’s educational background?

Akash’s LinkedIn education record lists a Bachelor’s degree in Biomedical/Medical Engineering from The University of Texas at Austin in 2025, as well as a Computer Science minor from UT Austin in 2025. It also lists a Master of Science in Computer Science at Georgia Institute of Technology in 2027.

### What does Akash do as a Learning Assistant at UT Austin?

As a Learning Assistant at UT Austin, Akash supports students’ understanding and application of classroom concepts, assists with exam preparation, and grades assignments. In Computational Fundamentals of Biomedical Engineering Design, he tutored more than 120 students across two courses and organized weekly review sessions that contributed to measurable exam-score improvements across the cohort.

### What has Akash accomplished as an Undergraduate Research Assistant at UT Austin?

As an Undergraduate Research Assistant in Biomedical Engineering at UT Austin, Akash writes Python data-processing scripts to clean and analyze ECG and seizure-pattern datasets. He also refined ECG detection protocols by optimizing signal-segmentation thresholds.

### What has Akash published?

Akash co-authored a peer-reviewed review article on exosome-based central nervous system drug delivery. The article was published in Biomaterials Science in 2025.

### What did Akash do as a CMC Process & Analytical R&D intern at Ocugen?

At Ocugen, Akash engineered cryogels for use as tissue scaffolds and standardized cryogel characterization with ImageJ and Python. He proposed future mechanical and biomechanical testing to identify an optimal scaffold for tissue engineering.

### What did Akash accomplish as an R&D Intern at Ocugen?

Akash built a Python image-analysis pipeline using ImageJ automation to standardize cryogel-scaffold morphology measurements across more than 200 samples, replacing manual inspection. He also developed more than five production and quality-control protocols for cryogel fabrication, reducing batch-to-batch variance and streamlining reproducibility across the team.

### What laboratory work did Akash perform at Ocugen?

Akash established more than five protocols covering cryogel production, measurement, and maintenance. He maintained multiple human and bacterial cell cultures performed bacterial transformation on human embryonic kidney cells and conducted qPCR, ELISA, Biuret assays, and stability studies on hyaline-like cartilage tissue samples.

### What Tissue Culture Unit work did Akash perform?

Akash assembled and disassembled Tissue Culture Units designed to simulate knee-like environments for the proliferation and attachment of artificial hyaline tissue.

### What programming and data-analysis skills does Akash have?

Akash uses Python for biomedical data processing and image analysis. His listed scientific-computing and data skills include NumPy, Pandas, SciPy, scikit-learn, TensorFlow, Matplotlib, numerical analysis, linear algebra, calculus, and SQL.

### What software and cloud technologies does Akash use?

Akash’s listed software-engineering and data-platform skills include Java, JavaScript, HTML5, CSS, PHP, Node.js, FastAPI, web development, MySQL, PostgreSQL, MongoDB, Firebase, Google BigQuery, Git, Docker products, Linux, and Google Cloud Platform.

### What biomedical and engineering skills does Akash list?

Akash’s listed biomedical and engineering skills include biomedical engineering, biomechanics, fluorescence microscopy, microscopes, 3D computer-aided design, AutoCAD, and particle physics.

### What additional skills does Akash have?

Akash also lists tutoring, rhetoric, and programming among his skills. These complement his instructional work with students and his technical research activities.

### What professional goals motivate Akash?

Akash is driven by data and results and is committed to leveraging technology and innovation to transform healthcare. He emphasizes continual learning, sustainable engineering solutions, real-world problem solving, and global impact.

## Links

- LinkedIn: https://www.linkedin.com/in/akash-ganesh

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