INTRODUCING LUXEN LLC
"We gather your site data. We understand your body, your goals, and how to spot what others miss. Best part? We give you real, actionable answers—instantly."
LUXEN LLC
3 Wellness Products. 1 startup.
Everything you need to help track and monitor your health and wellness. Personalized. Anytime. Anywhere
Varyn
Skin scans for tracking, monitoring, and diagnosing micronutrient levels
Varyn
Skin scans for tracking, monitoring, and diagnosing micronutrient levels
Varyn
Skin scans for tracking, monitoring, and diagnosing micronutrient levels
Kalo
Meal prep planner allowing you to make meals easily from the food you have
Kalo
Meal prep planner allowing you to make meals easily from the food you have
Kalo
Meal prep planner allowing you to make meals easily from the food you have
Flux
Sweat patches to monitor hormonal changes and levels over time
Flux
Sweat patches to monitor hormonal changes and levels over time
Flux
Sweat patches to monitor hormonal changes and levels over time
RESEARCHER
Past Research Projects
Computational Neuroscience, Medicine, Biology, AI
Sculpt
Designed and implemented a multi-omics deep learning pipeline to predict amino acid localization and gene expression using CNNs, RNNs, and dimensionality reduction techniques. Currently licensing the open-source software to research laboratories.
Sculpt
Designed and implemented a multi-omics deep learning pipeline to predict amino acid localization and gene expression using CNNs, RNNs, and dimensionality reduction techniques. Currently licensing the open-source software to research laboratories.
Sculpt
Designed and implemented a multi-omics deep learning pipeline to predict amino acid localization and gene expression using CNNs, RNNs, and dimensionality reduction techniques. Currently licensing the open-source software to research laboratories.
EnzyU
Developed a novel computational approach to predict oxidoreductase-catalyzed reactions by combining molecular docking simulations with machine learning models. This framework enhances the accuracy of enzyme-substrate analysis
EnzyU
Developed a novel computational approach to predict oxidoreductase-catalyzed reactions by combining molecular docking simulations with machine learning models. This framework enhances the accuracy of enzyme-substrate analysis
EnzyU
Developed a novel computational approach to predict oxidoreductase-catalyzed reactions by combining molecular docking simulations with machine learning models. This framework enhances the accuracy of enzyme-substrate analysis
MIMIC
Led development of MIMIC-AI, a deep multimodal learning framework integrating microbiome, genomic, and transcriptomic data to predict biologic therapy failure in IBD. Aimed at enabling personalized treatment selection and reducing ineffective drug use.
MIMIC
Led development of MIMIC-AI, a deep multimodal learning framework integrating microbiome, genomic, and transcriptomic data to predict biologic therapy failure in IBD. Aimed at enabling personalized treatment selection and reducing ineffective drug use.
MIMIC
Led development of MIMIC-AI, a deep multimodal learning framework integrating microbiome, genomic, and transcriptomic data to predict biologic therapy failure in IBD. Aimed at enabling personalized treatment selection and reducing ineffective drug use.
Midwestern University
Developed and deployed 2D/3D deep learning segmentation models for bone microCT imaging using TensorFlow and Keras, implementing data parallelization and 3D weight conversion. Collaborated with a team of one professor and four medical students; published as 2nd author in two journals. Project received a small-scale NIH research grant (<$100K).
Midwestern University
Developed and deployed 2D/3D deep learning segmentation models for bone microCT imaging using TensorFlow and Keras, implementing data parallelization and 3D weight conversion. Collaborated with a team of one professor and four medical students; published as 2nd author in two journals. Project received a small-scale NIH research grant (<$100K).
Midwestern University
Developed and deployed 2D/3D deep learning segmentation models for bone microCT imaging using TensorFlow and Keras, implementing data parallelization and 3D weight conversion. Collaborated with a team of one professor and four medical students; published as 2nd author in two journals. Project received a small-scale NIH research grant (<$100K).
WORK EXPERIENCE
Work Experience
Fellowships, Programs, Freelance, Building.
Masason Foundation
Harvard TECH Fellowship
Don Lavoie Fellow
01
Associate Member
1 of 30 students selected worldwide for Generation 9 (2025). Funded by Masayoshi Son, CEO of SoftBank. Received thousands of dollars in grants for research, and have access to scholarships, project funding, and fellowships. The Masason Foundation "supports youth with high aspirations and exceptional talents".
Masason Foundation
Harvard TECH Fellowship
Don Lavoie Fellow
01
Associate Member
1 of 30 students selected worldwide for Generation 9 (2025). Funded by Masayoshi Son, CEO of SoftBank. Received thousands of dollars in grants for research, and have access to scholarships, project funding, and fellowships. The Masason Foundation "supports youth with high aspirations and exceptional talents".
Masason Foundation
Harvard TECH Fellowship
Don Lavoie Fellow
01
Associate Member
1 of 30 students selected worldwide for Generation 9 (2025). Funded by Masayoshi Son, CEO of SoftBank. Received thousands of dollars in grants for research, and have access to scholarships, project funding, and fellowships. The Masason Foundation "supports youth with high aspirations and exceptional talents".
PUBLICATIONS
Research Publications
Computational Biology, Bioinformatics, AI/ML models.
Sculpt: Multi-Omics AI
Sculpt™ is a deep learning framework that predicts amino acid localization and gene expression in the DLPFC using genomic and proteomic data. By combining CNNs and RNNs, it captures spatial and temporal patterns across multi-omics datasets, uncovering links between gene activity, brain region specificity, and neuronal diversity—enabling applications in precision medicine and drug delivery.
BONe Segmentation
Emily, the CEO of BloomTech, transformed their marketing efforts using AI-powered tools. This shift resulted in a 60% increase in ROI and a 45% improvement in customer personalization, leading to a surge in brand loyalty
Upcoming Papers
Sophia, the marketing lead at Trendify, used AI-driven analytics to dive deep into customer behavior. The insights led to a 40% increase in engagement and a 30% rise in repeat purchases, creating long-term customer relationships.
Find out more here: www.papers.ssrn.com/sol3/papers.cfm?abstract_id=5228555
Sculpt: Multi-Omics AI
Sculpt™ is a deep learning framework that predicts amino acid localization and gene expression in the DLPFC using genomic and proteomic data. By combining CNNs and RNNs, it captures spatial and temporal patterns across multi-omics datasets, uncovering links between gene activity, brain region specificity, and neuronal diversity—enabling applications in precision medicine and drug delivery.
BONe Segmentation
Emily, the CEO of BloomTech, transformed their marketing efforts using AI-powered tools. This shift resulted in a 60% increase in ROI and a 45% improvement in customer personalization, leading to a surge in brand loyalty
Upcoming Papers
Sophia, the marketing lead at Trendify, used AI-driven analytics to dive deep into customer behavior. The insights led to a 40% increase in engagement and a 30% rise in repeat purchases, creating long-term customer relationships.
Find out more here: www.papers.ssrn.com/sol3/papers.cfm?abstract_id=5228555
Sculpt: Multi-Omics AI
Sculpt™ is a deep learning framework that predicts amino acid localization and gene expression in the DLPFC using genomic and proteomic data. By combining CNNs and RNNs, it captures spatial and temporal patterns across multi-omics datasets, uncovering links between gene activity, brain region specificity, and neuronal diversity—enabling applications in precision medicine and drug delivery.
BONe Segmentation
Emily, the CEO of BloomTech, transformed their marketing efforts using AI-powered tools. This shift resulted in a 60% increase in ROI and a 45% improvement in customer personalization, leading to a surge in brand loyalty
Upcoming Papers
Sophia, the marketing lead at Trendify, used AI-driven analytics to dive deep into customer behavior. The insights led to a 40% increase in engagement and a 30% rise in repeat purchases, creating long-term customer relationships.
AWARDS
Honors & Awards
Accomplishments for my work, projects, and startup.
Accomplishments for my work, projects, and startup.
Highest Overall Scorer at Academic Decathlon Nationals
International Biology Battle 1st Place (1/150)
1 of 10 Startups accepted to YES! Accelerator
2nd Author in a Journal with IF of 2.9
Silver Award in CBIO at AZSEF 2025
30+ Medals in Academic Decathlon Career
1517 Fund Medici Grantee
$10,000 Academic Decathlon Scholarship for Placement
USABO Honorable Mention 3x
Placed Nationally in Science Olympiad Invitationals