Maksym Dedushko, Ph.D. Email & Phone Number

Austin, Texas, United States

Seattle, Washington, United States

Lead research project to model wet etch chemistry of thermal oxides for the semiconductor industry, with a focus on optimizing fabrication processes for microchip production.Utilize density functional theory (DFT) and learning algorithms to derive force-field parameters for molecular dynamics (MD) simulations.Integrate quantum chemical and mechanical reaction mechanisms into fluid dynamic models to optimize tool design.Prepare detailed and accurate system documentation and drive continuous improvement through identifying inefficiencies and implementing automated solutions.Collaborate with colleagues and stakeholders to develop system engineering specifications and present data-driven insights to cross-functional teams.Foster a culture of innovation and technology development to address complex issues, and execute sound and effective decisions in a fast-paced environment.

Seattle, Washington, United States

Led the design and implementation of two primary research projects aimed at improving polymerase catalytic activity and increasing DNA sequencing accuracy.Analyzed target molecular enhancers prior to synthesis using quantum mechanical and molecular mechanical computations.Enabled the processing and characterization of Xpandomer samples by developing and performing assays, resulting in high-throughput, low-cost DNA sequencing.Contributed to operational excellence and quality compliance by coordinating training and reviewing the completed work of new team members.

Seattle, Washington, United States

Completed three highly impactful research projects, including two NIH-supported projects on metal-assisted oxygen molecule breakage and an NSF-supported project on metal-assisted oxygen formation.Published five clear and compelling academic journal articles outlining research methods and outcomes.Secured a $500K NSF grant by developing a procedure for synthesizing new molecules and heading the development of quantum chemical simulations for grant proposal submissions.Advanced biochemical process discovery by synthesizing and characterizing five biologically relevant catalytic molecules.Improved R&D data processing through in silico compound design, metric data mining, and scripting in Python and Shell.Modeled and predicted electronic and spectroscopic properties of reactive molecular intermediates using cutting-edge semi-empirical and ab initio quantum chemical calculations.

Seattle, Washington, United States

In this capacity, I delivered lectures on multiple chemistry courses, including Current problems in bioinorganic chemistry, Transition Metals, Introduction to quantum chemistry and spectroscopy, Experimental exploration of the periodic table. Techniques of preparation and characterization of inorganic compounds, and The periodic table: chemistry of representative and transition elements. Related Skills: Student Teaching, Performance Evaluation, Student Development and Engagement Following are some of the highlights of the value I brought to Multiple Employers:☛ Served as a Teaching Assistant in nine undergraduate courses for almost 500 students and one masters level course for 15 students.☛ Designed and led five quarters of student discussions and three quarters of laboratory experiments.☛ Graded over 20 exams as well as maintained over 500 grades records to access performance and retrieve information when required.

Seattle, Washington, United States

Managed large-scale DNA extraction projects for wheat, corn, rice, barley, and successfully identifying homozygotes for future research.Successfully characterized the genetic profiles of two Arabidopsis thaliana transgenic lines, providing crucial data for ongoing research efforts.Streamlined and standardized preparation and maintenance procedures, doubling the greenhouse capacity for transgenic plant research.

Doctor Of Philosophy - Phd, Chemistry, 3.73

Master Of Science - Ms, Chemistry, 3.73

Bachelor Of Science - Bs, Chemistry; Molecular, Cellular, And Developmental Biology, 3.63