Riya Desai

AI Researcher

San Francisco, California, United States1 yr 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Machine Learning and Bioinformatics.
Developed innovative models for gene regulation and biomarker identification.
Strong presentation skills with experience in academic conferences.

Stackforce AI infers this person is a Bioinformatics and Machine Learning specialist with a focus on healthcare applications.

Contact

Skills

Core Skills

Machine LearningNeural NetworksBayesian InferenceComputer VisionPresentation SkillsSoftware DevelopmentResearchCustomer ServiceTeamwork

Other Skills

BERT (Language Model)Large Language Models (LLM)LinuxPyTorchSoftware TroubleshootingHardware InstallationOpenCVEffdetR (Programming Language)Python (Programming Language)Artificial Intelligence (AI)Public SpeakingComputational BiologyMolecular & Cellular BiologyStatistical Data Analysis

Experience

1 yr 8 mos

Total Experience

1 yr 8 mos

Average Tenure

Current Experience

Colossal biosciences

Machine Learning Engineer

Jun 2026 – Present · 0 mo · On-site

Faculty of computing & data sciences at boston university

Data Science Research Assistant - Przytycki Lab

Oct 2025 – May 2026 · 7 mos · Boston, MA · On-site

Developed a semi-supervised gene regulatory network clustering model to understand transcription factor regulation in lung, liver, and heart fibrosis, and deployed model in a publicly accessible visualizer.

Synopsys inc

Artificial Intelligence Researcher

Jun 2024 – Sep 2024 · 3 mos · Sunnyvale, CA · On-site

Developed and implemented a self-supervised root cause analysis pipeline for software error analysis using Bayesian inference methods, Random-Walk, and the BERT large language model.

Machine LearningNeural NetworksBERT (Language Model)Presentation SkillsTeamworkBayesian inference+1

University of california, davis

2 roles

Undergraduate Teaching Assistant

Dec 2023 – Jun 2024 · 6 mos

Designed rubrics, graded homeworks and assessments, and answered student questions for MAT 127C - Real Analysis (Analysis of Metric Spaces and Multivariable Calculus).

Machine Learning Research Assistant - Plant AI and Biophysics Lab

Oct 2022 – Jun 2024 · 1 yr 8 mos

Implemented computer vision models and spatial statistics to identify and quantify cowpea growth using YOLOV8, Roboflow, OpenCV, and WandB. Developed an automated pesticide sprayer and presented prototype to AgTech startups and the USDA.

Computer VisionPresentation SkillsLinuxPyTorchSoftware TroubleshootingHardware Installation+2

Nasa ames research center

AI for Life Science Research Intern

Jun 2022 – May 2023 · 11 mos · Mountain View, CA

Performed dimensionality reduction of multi-omics data using K-means and WGCNA and implemented the QLattice AI algorithm to identify important biomarkers for muscle atrophy in spaceflight. Presented findings at the Chabot Space and Science Center and the ASGSR Conference, and first co-authored a publication in Nature.

R (Programming Language)Machine LearningResearchPython (Programming Language)Artificial Intelligence (AI)Public Speaking+3