Publication
Create Data From Random Noise With Generative Adversarial Networks
https://www.toptal.com/developers/machine-learning/generative-adversarial-networks
Cody is currently unavailable
Cody Nash
Verified Expert in Engineering
Natural Language Processing (NLP) Developer
Bratislava, Bratislava Region, Slovakia
Toptal member since May 8, 2017
Bio
Cody has experience in a range of fields from geobiology and medical genetics to data analytics for commercial clients. Along with validating genetic tests in a private clinic and developing software infrastructure to support analytics (including customizing Jupyter environments on Kubernetes clusters), he has assisted clients with experiment planning, data exploration, and model deployment. Cody's preferred languages include Python and R.
Portfolio
Genetics Center
MiSeq, PGM, Microsoft Excel, R, Perl
Experience
- Python - 8 years
- Scikit-learn - 6 years
- Natural Language Processing (NLP) - 6 years
- Pandas - 6 years
- Jupyter - 5 years
- Linux - 4 years
- Docker - 3 years
- Large Language Models (LLMs) - 3 years
Preferred Environment
Windows, Ubuntu, RStudio, Jupyter, PyCharm
The most amazing...
...thing I've built was a 104 gene cancer panel for medical testing—including equipment selection, developing the analysis pipeline, validation, and maintenance.
Work Experience
Laboratory Director Assistant
2010 - 2016
Genetics Center
- Developed and performed clinical genetic diagnostic laboratory tests.
- Implemented and maintained data analysis pipelines.
- Implemented application specific software in a clinical setting.
- Developed new scripts as well as SQL and HTML interfaces for additional functionality.
- Performed data analysis using Perl, R, and Excel.
- Implemented microarray CGH assays for pre- and post-natal diagnosis.
- Developed custom microarray designs for detection of clinically relevant loss of heterozygosity and exon-level deletions and duplications.
- Developed a custom bait and capture kit for the 104 gene panel.
- Implemented DNA sequencing assays using ABI 310, 3130xl, Illumina MiSeq, Ion Torrent PGM, Ion Proton, and Ion S5 instruments.
- Developed quantitative PCR assays with Taqman and SYBR green methods (using a Roche Lightcycler 480 II instrument).
- Developed fragment analysis for repeat-expansion disorders.
- Implemented assays using MLPA, qPCR, RFLP, and Multiplex PCR.
Technologies: MiSeq, PGM, Microsoft Excel, R, Perl
Assistant Research Scientist
2008 - 2010
California Institute of Technology
- Designed and led the gravity coring and SCUBA sampling expeditions in the hyper-saline, hyper-alkaline, high-altitude Mono Lake.
- Extracted DNA from environmental samples then amplified, cloned, and sequenced.
- Performed phylogenetic analyses with Phylip and ARB.
- Analyzed samples with low temperature magnetometry and electron paramagnetic resonance spectroscopy.
- Assisted with isolation of proteins for controlled magnetite precipitation, directed precipitation experiments and analysis.
- Provided samples, strains, reagents and instruction to other researchers using magnetotactic bacteria.
Experience
Basespacefetch.0.0.3.py
I worked on the command line interface to fetch a given file from a given project and sample from the Illumina Basespace cloud environment. The interface was designed as a component for a web-based application.
Evaluation of Recommendation System Algorithms
This is an IPython Notebook in which I examine a few existing recommendation system algorithms on the MovieLens 100,000 dataset. The run-time and root-mean-square deviation (RMSE) are compared, and the rank-1 update functionality is implemented.
Education
2001 - 2008
PhD Degree in Geobiology
California Institute of Technology - Pasadena, CA, USA
2000 - 2001
Master of Science Degree in Space Science
International Space University - Strasbourg, France
1995 - 2000
Bachelor of Science Degree in Biology
Rhodes College - Memphis, TN, USA
Certifications
MAY 2012 - PRESENT
Clinical Genetic Molecular Biologist Scientist (CLS)
California Department of Public Health
MAY 2012 - PRESENT
Technologist in Molecular Biology
American Society for Clinical Pathology
Skills
Libraries/APIs
Pandas, Scikit-learn, Matplotlib, NumPy, SciPy
Tools
Jupyter, Google Kubernetes Engine (GKE), Microsoft Excel, PyCharm, Mathematica, Notepad++, IPython, IPython Notebook
Languages
Python, Perl, R
Platforms
Kubernetes, Linux, Docker, Jupyter Notebook, Windows, Ubuntu, Amazon EC2, Ubuntu Linux, RStudio, Databricks
Storage
Google Cloud
Industry Expertise
Bioinformatics
Other
Statistics, Genomics, PGM, MiSeq, Color Science, Sequence Alignment, Web-based Interface, Large Language Models (LLMs), Natural Language Processing (NLP)
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring