Turning Data into Power

2024

I’m probably the only Argentinian who prefers tofu over steak.

I studied Software and Information Systems Engineering at Ben-Gurion University, where I first learned to code. That experience made me realize how much I enjoy solving problems with software. It sparked my passion for tech and set me on my current path.

I was drawn to Jether because I thrive on complex challenges and value the opportunity to take full ownership of projects. The company's collaborative, "family" atmosphere, where every voice is heard and every contribution is truly valued, felt like a perfect environment for me.

As a software engineer, I am responsible for the full lifecycle of software solutions, from design and development to ongoing maintenance. My role encompasses understanding user requirements, implementing new features, and optimizing overall system performance.

Most of my day is spent coding, building, and improving features. I collaborate with teammates to brainstorm solutions and review code, and I like to dedicate time to learning and experimenting with new AI tools and technologies. Every day brings opportunities to have an impact and try out new ideas.

2022

I was a member of Israel’s state champion handball team for fifth-graders.

I joined the company after returning from a post-doctoral position in KTH, Stockholm, where I researched at the intersection between distributed optimization, control, and formal verification. My Ph.D. thesis won the Springer Thesis Award, and I was selected to the 2021 class of Forbes Israel "30 under 30".

I was always interested in studying how large complex and distributed systems work, and the power grid is perhaps the largest, complex, and most distributed physical system we created as mankind. Moreover, working on the power grid has a significant positive impact on mitigating the climate crisis. I was fascinated by the profoundness and depth of the domain, and the fact that research at Jether is the backbone of the company and not just a small side branch.

Today, I create innovative signals by building large-scale models for forecasting various phenomena within the grid at various horizons. I enjoy researching this domain since the range of problems is very wide, requiring tools from auction theory to graph theory and machine learning.

My typical workday includes both researching complex models, coming up and debugging interesting edge cases where models fall short, and coding solutions or new ideas. The majority of time is devoted to research, fertile discussions with talented colleagues, and maintaining an excellent work-life balance.

2022

My mother is originally from Rio de Janeiro, so I love "exhausting" my coworkers with the finer details of how to perfect Brazilian garlic rice.

Before joining Jether, I spent six years at Rafael in Northern Israel, working on complex numeric simulations and statistical analysis. I have since moved to the center and pivoted into the world of algorithmic trading, and currently live in Givatayim with my partner, our baby, and our dog.

I was looking for a place that combined the rigor of academia with the pace of a tech company. I chose Jether for the academic freedom it offers; we don't just apply standard methods, but explore mathematically deep ideas for our trading strategies. I was also drawn to the company’s forward-thinking approach to technology—utilizing the latest AI tools to accelerate development.

I research and develop algorithmic trading strategies. This domain is fascinating because of the mathematically rich price-clearing processes unique to electricity markets. My role involves analyzing these market dynamics and translating theoretical mathematical concepts into live, profitable trading algorithms.

My day is typically spent in deep focus or collaboration, tackling complex quantitative problems. Whether I am modeling market behavior or coding new strategies, the work is intellectually demanding. Unlike defense projects that take years, the feedback loop here is immediate; there is a thrill in seeing the market validate your theory in real-time.

2025

When I'm not doing research, I enjoy playing the flute and teaching math.

I joined Jether after completing my Ph.D. at the Weizmann Institute, where my research focused on secure distributed algorithms and spiking neural networks. Beyond research, I served as a lecturer at Reichman University and the Google and Reichman tech school.

After years in theoretical research, I was looking for a more practical role. Jether offers the perfect balance, tackling complex research problems with direct, real-world applications. The domain of energy markets seemed fascinating, and making them more efficient while reducing the carbon footprint was a great bonus.

My work is quite versatile, involving a combination of different tasks, including investigating various datasets, developing and improving trading algorithms, and the hands-on implementation of our techniques.

One of the best parts of my day is consulting and brainstorming with our incredible team of researchers and engineers who are always happy to help out with technical difficulties, discuss scientific problems, or any other topic on my mind.

2023

I'm obsessed with the Exploding Kittens card game — own every expansion, play nonstop, and am pretty tough to beat.

Prior to joining Jether, I worked in the cybersecurity industry at the intersection of advanced software engineering and algorithmic research, with a focus on applying machine learning techniques to address complex security challenges.

The primary driver for me was the density of talent. Jether has successfully curated a team of top-tier researchers from diverse backgrounds. I was looking for an environment where I could be part of a collaborative brain trust working together on hard problems using a variety of mathematical and AI methodologies.

Building deep learning models for probabilistic time-series forecasting. My work lies in incorporating innovative, mathematically-grounded concepts into modern generative deep learning approaches to predict outcomes in the complex electricity markets.

A mix of dynamic collaboration and solitary deep dives. I spend time with colleagues discussing papers on generative modeling or debating at the whiteboard, and the rest of the day "in the zone" implementing new architectures. We take cutting-edge concepts designed for language or images and rebuild them for the chaotic world of electricity trading.