Simas Glinskis Email & Phone Number

New York, United States

Greater New York City Area

Developed an adaptive PPO reinforcement learning agent for the gym Atari Pong environment that dynamically adapted to opponent skill for more engaging user experiences.

Greater Chicago Area

• Perfected a technique to fabricate GaAs Fabry-Perot quantum interferometers to measure Non-Abelian statistics.
• Developed robust data analysis techniques to accurately parameterize interference signals without bias and extract discrete phase changes using two curve non-linear regression in Python with SciPy.
• Provided evidence to suggest the first experimental demonstration of non-Abelian statistics.
• As the only student in my lab I had to work independently and generate solutions with minimal oversight.

Greater New York City Area

• Forbes 30 under 30 company.
• Built support vector machine models using sparse catalogue and sales data to predict quarterly earnings in the fashion sector.Predicted 80% of future sales which helped industry shoppers manage inventory.
• Ran market research tests (A/B tests) via chatbots and analyzed text to predict sentiment, cost, and inventory of high fashionitems. For example, predicted which items would be in high demand items and their effective.

Chicago, IL

• Contracted by Microsoft to develop various predictive analytical tools built on their online cloud service Azure.
• Developed a framework to create adaptive user interfaces for their Office suite based on learned client behavior.
• Evaluated the potential of cloud-based startups and technologies on the Industrials sector. For example, utilizing smartsensors to locate points of failure and suggest solutions. This minimizes equipment failure and.
• Created a presentation and pitched solutions to Kurt DelBene, Executive Vice President of Corporate Strategy.

• Created opportunities for undergraduate members to discuss cutting edge research with professors.
• Directed fellow officer's focus and society resources to improve scientific outreach to high school students.

• Optimized the sample yield of micron scale semiconducting devices for electron transport measurements.
• Designed experiments using cross disciplinary techniques to examine superconductivity in density regimes.

• Perfected a technique to fabricate Graphene-NbSe2 interface devices for scanning tunneling microscopy.
• Characterized the devices by scanning tunneling microscopy, atomic force microscopy, and Raman spectroscopy

Investigated developing techniques to obtain Graphene by mechanical exfoliation and the scotch tape method.Developed the background knowledge of Graphene pertinent to my later research career.

Doctor Of Philosophy - Phd, Physics

Bachelor Of Arts (B.A.), Physics, 3.8