Bumper
Gustavo Michalski has a diverse work experience ranging from teaching roles to data science positions. Gustavo started as a Teaching Assistant at Universidad de Buenos Aires in 2014 and then joined Colegio Paideia SRL as a Teacher of Physics in the same year. In 2015, they became a PHD Student at Universidad Nacional de La Plata and completed their studies in 2019. Following that, they worked as a Quantitative Analyst at CRISIL Global Research & Risk Solutions from March 2019 to October 2021. Gustavo then took on the role of Senior Quantitative Analyst at the same company until December 2021. From October 2021 to August 2022, they worked as an Expert Data Science at LAYA Group, where they later became the Manager Data Science from March 2022 to December 2022. Currently, they are working as a Simulation Engineer at Bumper starting from December 2022.
Gustavo Michalski completed their education at the Universidad Nacional de La Plata from 2015 to 2019, where they obtained a Doctor of Philosophy - PhD degree in Physics. Prior to that, they attended the University of Buenos Aires from 2008 to 2014, earning a Licenciado en Física (equivalent to an MSc. in Physics) degree.
This person is not in any teams
This person is not in any offices
Bumper
Bumper protects crypto assets against negative price movement when they are deposited by “Takers”, who are returned a tokenised version of the asset with the down-side volatility risk removed. The price risk is transferred to the opposing side of the market where “Makers” supply an alternative cryptocurrency that has a lower volatility; typically,a “stablecoin”.Both the protected asset and the stablecoin deposited by Takers and Makers are held by the protocol in pools. Stablecoins are at risk for the benefit of Takers in the event of certain negative price events, and Taker assets incur a variable premium in the native asset for the benefit of Makers. Both the volatile cryptocurrency and stablecoin pools are partially subordinated, allowing actors to engage with the protocol according to their individual perspective on future price behaviour of the protected asset.The Bumper design demonstrates how a decentralised software marketplace for asset price risk might prove superior to more traditional methods of using centralised stop-loss (which incurs slippage), or options markets (which has parasitic profits and overheads), by re-organising the utilities of the market participants.