István Lőrincz

I've solving Flipside/ Metrics DAO analytic bounties and challenges and participated in the Flipside-Axelar Buildathlon. I've developed Python algorithms to monitor and model the real estate market and the used car market in Hungary. I used Python to gather fluorescent neuronal activation patterns from microscopy videos of fruit flies in response to different stimuli, cluster the normalised patterns and use it to recognise/characterise unknown stimuli for Printnet Ltd.

I've been helping Palmswap by performing wide-scale CEX and DEX competitor research in the crypto perpetual / options field. I used on-chain queries to identify potential priority user addresses (high volume traders and liquidity providers) and acquired their social media contact information. I used a combination of web scraping methods and queries to access EVM chains for product feasibility. I used the YouTube and Telegram APIs together with Webscraping to quantify the engagement rate and community quali

Designed automated frameworks for executing and evaluating Molecular Dynamics simulations of drug candidate molecules with their protein binding partner and estimate the binding energy. Also designed and created experimental microscopy setups that were used to study neuron pathways governing the zebrafish startle reflex.

Work on experiments both in vitro and in silico indicating, that directed vibrational energy transfer is possible in proteins (energy channels) and such transfers can result large scale, functional conformational transitions.