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Professional Development

  Apr/2022 - Present

Actively developing and refining my technical and analytical expertise in data science and AI through self-directed learning with hands-on projects. Key focus areas include:

• Data Science: Python, data cleaning, manipulation and visualization, machine learning techniques (supervised and unsupervised), feature engineering, model evaluation, and optimization, version control.
• Artificial Intelligence: Deep learning, natural language processing (NLP), Generative AI: generative models (GAN), and large language models (LLMs), Transformers.
• Additional Areas: Cloud computing, MLOps, big data technologies, and foundational mathematics, probabilities and statistics.

Associate Scientist

Insitro Apr/2019 - Apr/2022

Project: Neuroscience

• Led the generation of numerous CRISPR edited lines used in high-throughput screening and machine learning projects, contributing to the advancement of drug discovery and predictive modeling.
• Developed overexpression cell lines for efficient differentiation into desired cell types, enabling high-throughput screening and disease modeling.

Project: ALS in collaboration with BMS (Early Stage)

• Spearheaded the protocol screening for disease modeling
• Led the development and optimization of imaging assay protocols and data analysis pipelines.
• Conducted small-scale chemical screening to establish baseline disease phenotypes as proof of concept.

Project: Live Cell Imaging w/ ML Team

• Collaborated with the machine learning engineers to explore new modalities for disease modeling.
• Led the development and optimization of cellular differentiation and imaging protocols for live-cell imaging in neuroscience research.
• Conducted small-scale chemical screening to validate live-cell imaging techniques for assessing cellular responses.
• Explored simultaneous use of live-cell imaging and methods such as MEA (Multi-Electrode Array) to expand experimental capabilities for real-time disease modeling.

CIRM Scholar

Gladstone Institute Aug/2017 - Aug/2018

Project: Genome Surgery

• Investigated Charcot-Marie-Tooth (CMT) by using transgenic cell lines to model the disease.
• Developing multiple transgenic neuronal cell lines from both healthy individuals and patients with specific mutations via CRISPR-Cas9 and electroporation.
• Optimized protocols for neuronal differentiation and imaging to evaluate differentiation success and disease phenotypes.
• Led the development and optimization of a 3D spherical culture system to better model neuronal disease in vitro.

Bsc Cellular/Molecular Biology

Minor: Chemistry Cal Poly Humboldt

DataCamp:

• Data Science Career Track
• Fundamental MLops (in progress)
• Big Data with PySpark (in progress)

Deeplearning.ai:

• Machine Learning Specialization
• Deep Learning Specialization
• Natural Language Processing Specialization (in progress)
• Generative Adversarial Network Specialization (in progress)
• AI in Medicine (in progress)

IBM:

• Generative AI Engineering with LLM Specializaton (in progress)

AWS:

• AWS Cloud Tenchnical Essential (in progress)