Eduard Dumitrescu, Ph.D.

Chemistry PhD and certified data scientist with experience in the IVD and blood analyzer medical device field.

About

Results-oriented PhD-level scientist and certified data scientist with extensive scientific expertise in analytical methods optimization, assay development, and biosensors for healthcare applications. Nearly 3 years of start-up experience in the point-of-care and at-home in vitro diagnostics and medical devices sector. Hands-on technical knowledge in a range of analytical methods and bioassay for biomarkers monitoring, continuous monitoring, clinical diagnostics, and neuroscience applications. Extensive exposure to the entire product development life cycle, collaborating with cross-functional teams to establish and advance new research programs. Motivated to leverage my subject matter expertise to support any functions related to development of innovative diagnostics and medical device products.

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Education

Clarkson University

Doctor of Philosophy / 2019

University of Bucharest

Bachelor of Science / 2014

Experience

Mercor Intelligence

Independent Contractor / February, 2025Present

Contributed to 4 projects by writing evaluating or annotating scientific prompts for AI model reasoning training.

Fluxergy Inc.

Research Scientist / January, 2023September, 2024

Steered the founding of a new electrochemistry R&D division at the company headquarters in Irvine, CA. Advised as a subject matter expert on electrochemical sensors multiple cross-functional teams involving research, development, regulatory, quality, production, and management department members. Led the glucose biosensor development from proof of concept to the internal validation stage. Achieved reduced R&D cost and future production cost through data-driven validation of an in-house fabrication process for multiplex electrodes, matching third-party vendor quality and performance. Attained a 2-fold extension of glucose biosensor sensing range through a design of experiments-based optimization of a multi-component polyurethane coating formulation. Decreased electrode material costs 100-fold through experimental data-backed selection of an alternative electrode material for enzymatic sensors fabrication, without loss in sensing performance.

InnaMed Inc.

Senior Research Scientist / November, 2021November, 2022

• Led the development of glucose and creatinine biosensors from proof of concept to internal validation stage. • Initiated early design and proof of concept phases for phosphate and cholesterol biosensors. • Troubleshot the glucose biosensor design to match regulatory expectations under a tight deadline before a schedule demo in front of potential future investors. • Sparked the exploration of alternative electrode materials with the aim of reducing third-party vendor costs. • Handled varied developmental stages of sodium, potassium, calcium, and pH ion-selective membrane sensors from initial concept to internal validation, optimizing formulations and improving data analysis workflows.

University of Virginia

Postdoctoral Research Associate / June, 2019November, 2021

• Examined new dopamine dynamics associated with neurodegenerative diseases in specific functional regions of the fruit fly brain, as quantified using implantable microelectrodes. • Achieved single neuron resolution imagining and neuron quantification through protocol optimization of a tyrosine hydroxylase immunohistochemistry assay for fluorescence imaging of the dopaminergic system. • Aided in the process of writing grant reports and grant proposals for NIH grants.

Clarkson University

Graduate Research Assistant / August, 2014May, 2019

Developed new implantable microelectrodes for nitric oxide and dopamine detection to achieve in vivo sensing. Established quantitative environmental health safety and toxicology profiles of a range of nanomaterials and chemical additives employed in the semiconductor industry and in consumer products. Demonstrated causative links between nanomaterial properties and their toxicological effects through comprehensive analysis of data from biological assays and conventional materials characterization methods.

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