Marcus Hilliard Email & Phone Number

Chicago, IL, US

London, England, GB

July 1, 2024 - PresentAccount: NBC Universal Pictures - Home Entertainment

London, England, GB

March 2, 2023 - June 30, 2024Account: NBC Peacock

London, England, GB

• January 30, 2023 - March 1, 2023Account: NBC Peacock
• Built and maintained data analysis pipelines, designing/training/validating machine learning models and algorithms based on state-of-the-art research
• Led the development and utilization of machine learning techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable.
• Research new techniques and technologies in the space of ML and AI, and evaluated their potential for different business use cases.

San Francisco, CA, US

• September 21, 2021 - January 29, 2023Account: NBC Peacock
• Built and maintained data analysis pipelines, designing/training/validating machine learning models and algorithms based on state-of-the-art research
• Led the development and utilization of machine learning techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable.
• Research new techniques and technologies in the space of ML and AI, and evaluated their potential for different business use cases.

Chicago, IL, US

F20: CHEM 301- Biochemistry Chemistry IS21: CHEM 112-General Chemistry II

Tampa, FL, US

Created Python API for client to track hospital resources in real time.

Chicago, IL, US

CHEM 203 (General Chemistry II with lab)-Demonstrated an excellent in teaching and a commitment to integrating new technologies in the learning process-Demonstrated the ability to inspire, motivate and empower students to succeed-Design the course to meet learning outcomes, and promoted students’ active participation in their own learning-Created an.

• Conducted nanoparticle research for the delivery of antagomirs combined with novel drug targets for treatment of MLL leukemia--Hypothesis--A combination of three specific anti-miRs, packaged into anti-CLEC12.
• DOT1L Inhibitor selectivity binds to DOT1L to decease H3K79 methylation and block MLL fusion targets expression
• IBET blocks the BRD4 interaction with chromatin
• MI-2 blocks the interaction between Menin–MLL inhibiting the interaction with LEDGF and chromatin association--Imaging Processing--Thirty images were taken of each well out of a possible 69 fields/well area. Matlab.

Experience includes:-Liquid and gel cell culture-Handling biological samples (e.g., animal organs, biological cell lines)Analysis techniques include:-Cytospin centrifuge-Flow cytometry-RT-PCR

Houston, TX, US

In my life, I have had numerous role models and mentors who were leaders in their chosen field, but who were also excellent teachers; one of the best was my mom. My mom had a phrase that she would always say to me, “Never let anyone tell you that you can’t do something, because if you put your mind to it, you can do anything.” To this day, when I am.

Created a 2D computational model to describe the transport of AAV serotype 2 protease-activatable virus nanoparticles through a tumor microenvironment. This work was based on published literature by accounting for changes in the bulk radial porosity and the spatial homogeneity found in the tumor spheroid. We then extended the 2D computational model to.

Midland, Michigan, US

Supported the efforts of the Amine R&D business function of Dow Oil & Gas by leading the thermodynamic property modeling group for natural gas and synthesis gas plants for both in-house and customer applications. Managed and coordinated the efforts of global resources (+5 engineers) to validate and test new amine process simulation models and databases..

Midland, Michigan, US

Supported the efforts of the Amine R&D business function of Dow Oil & Gas by leading the thermodynamic property modeling group for natural gas and synthesis gas plants.

Midland, Michigan, US

Lead the development efforts to complete an CO2 electrolyte NRTL physical property model based on proprietary experimental data from LTP, Dow Analytical, and Fauske & Associates. Managed and updated the physical property models in support of the UOP Selexol business function of Dow Oil & Gas. Taught and assisted process engineers in resolving technical and.

Midland, Michigan, US

Served as the Co-Site Implementation Leader for the Texas Operations Diversity Network within the Dow Chemical Company. Organized quarterly events for the membership to include: Out with GLAD and Discussions with GLAD. Served on the United Way Chili Cook-Off Steering Team as the GLAD representative.

Midland, Michigan, US

-Developed and maintained electrolyte NRTL and Equation of State physical property models utilizing custom Fortran subroutines in Aspen Plus to describe the speciation, calorimetry, and equilibrium phase behavior for carbon capture absorption technologies-Coordinated the efforts of European resources to validate and test new amine models-Served as Co-Site.

Austin, TX, US

-Developed an electrolyte NRTL model utilizing Aspen Plus to describe the speciation, calorimetry, and equilibrium behavior of potassium carbonate, piperazine, and monoethanolamine solutions-Supervised, mentored, trained, and consulted with several visiting scholars and undergraduate researchers for their various projects-Taught and assisted various.

Conducted experiments to expand on the previous thermodynamic understanding of CO2 in the potassium carbonate/piperazine system in terms of the solubility of CO2 at elevated temperatures and to report calorimetric measurements over the range of temperatures studied.This project was undertaken as part of a collaborative effort between The University of.

Midland, Michigan, US

-Conducted computer simulations of EO/BO surfactants in oil/water/surfactant solution systems to predict solubilizing efficiencies of surfactants-Modeled microemulsions by lattice simulations to explore the effects of the chain length of EO/BO block copolymers and the cosurfactant concentration on solubilization efficiency

Midland, Michigan, US

-Developed a model to predict critical physical properties for a blend of ESI (Ethylene Styrene Intercopolymer) polymers with selected thermoplastic engineering polymers-Analyzed and characterized samples produced in the project described above-Analysis included: Tensile Strength, Sore A Hardness, and Gel Analysis

Midland, Michigan, US

-Researched and designed an automated indicator spreadsheet to give updated information for the operations for a particular plant, an inline analysis of the finishing streams, and give real time statistical analysis for the plant-Designed and built an VLE apparatus to collect data for epi/water binary systems

Master Of Legal Studies (M.L.S.), Law

Master Of Science (M.S.), Computer Science

Master Of Science (M.S.), Data Science, Emphasis In Modeling And Machine Learning

Education record

Master Of Science (M.S.), Bioengineering, Emphasis In Biochemistry And Biostatistics

Doctor Of Philosophy (Ph.D.), Chemical Engineering, Emphasis In Thermodynamics And Statistics

Master Of Science (M.S.), Chemical Engineering, Emphasis In Thermodynamics And Statistics

Bachelor Of Science (B.S.), Chemical Engineering, Minor In Chemistry