Open to opportunities

Ryann Perez

@ryannperez

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Innovative computational and biological chemist specializing in machine learning.

United States

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What I'm looking for

I am seeking opportunities that allow me to apply my machine learning expertise in a collaborative environment focused on innovative research and discovery.

I am a PhD candidate in Chemical Biology at the University of Pennsylvania, where I have maintained a GPA of 3.99. My research focuses on leveraging machine learning to enhance product research, particularly in predicting peptide amyloidogenicity and protein stability. I have developed large language models and classical ML pipelines that have significantly contributed to our understanding of protein interactions and binding affinities.

Prior to my doctoral studies, I completed my Bachelor of Science in Chemistry with a minor in Biochemistry at the University of Delaware, graduating with a GPA of 3.72. My undergraduate research involved synthesizing modified dipeptides to model tau protein states relevant to Alzheimer’s disease, which laid the groundwork for my current research endeavors. I am passionate about using data-driven approaches to drive discovery in the fields of computational and biological chemistry.

Experience

Work history, roles, and key accomplishments

Current

Graduate Researcher

Current

University of Pennsylvania

Oct 2020 - Present (4 years 9 months)

Developed large language models and classical ML pipelines to predict peptide amyloidogenicity, protein stability, and binding affinities. Modeled protein structures and synthesized small molecules with novel binding properties, analyzing results via MALDI-TOF MS.

Large Language Models Peptide Amyloidogenicity Prediction MALDI TOF MS Python PyTorch TensorFlow

Undergraduate Researcher

University of Delaware

Feb 2019 - May 2020 (1 year 3 months)

Synthesized modified dipeptides to model tau protein states relevant to Alzheimer’s disease. Applied organic synthesis techniques including LC-MS, HPLC, and NMR for analysis.

Dipeptide Synthesis Tau Protein Modeling Alzheimer'S Disease Research NMR Flash Chromatography

Education

Degrees, certifications, and relevant coursework

University of Pennsylvania

Doctor of Philosophy, Chemical Biology

Grade: 3.99 GPA

Developed large language models and classical machine learning pipelines to predict peptide amyloidogenicity, protein stability, and binding affinities. Modeled protein structures and synthesized small molecules with novel binding properties, analyzing results via MALDI-TOF MS. Focused on driving discovery with data-driven approaches in computational and biological chemistry.

University of Delaware

Bachelor of Science, Chemistry, Biochemistry

Grade: 3.72 GPA

Studied Chemistry with a minor in Biochemistry, gaining foundational knowledge in chemical principles and biological processes. Conducted undergraduate research synthesizing modified dipeptides to model tau protein states relevant to Alzheimer’s disease.