About me

Trans dicsyplinarity would be a great description of these section.

I am a Data Scientist with a Ph.D. in Molecular and Cell Biology from Brandeis University where I specialized in bioinformatics and computational biology. As part of my thesis project, I devised a bioinformatic approach to capture circular RNA signal in single cell data sets. Using this approach along with other bioinformatic tools I studied circular RNAs role in the brain.. During my doctorate I have worked on other multiple sets of data with specific focus on RNA genomics, single cell RNA sequencing and splicing. Some examples of projects are SARS-CoV2 (Covid-19) effects on cell transcriptomics or circadian gene expression at the single cell level.

To bridge my data-science skills with my transdisciplinary interests and DEI initiatives I completed two Graduate Degrees in Data Science and Social Sciences. Firstly, in International Health Policies Management and Sanitary Sovereignty, with the Latin American Council of Social Sciences (CLACSO) where I specialized in different aspects of critical epidemiology. Secondly, I completed a postgraduate Diploma in Geographic Information Systems (GIS) and Big Data in the Latin America School of Social Science (FLACSO).

Thanks to both experiences I was able to apply my data-science skills to health and geo-referenced data to study different aspects of disparity in COVID cases between different neighborhoods in Buenos Aires city. In addition, I am currently an associate researcher at CLACSO were I study epidemiology of grassroot organization workers and healthcare organization within these groups. For this project we work with the grassroot workers union Confederation of Workers of the Popular Economy (CTEP, for its acronym in Spanish), in particular with their healthcare organization and clinic: Mutual Senderos.

To apply these approaches in real-world problems of grassroot organizations I co-founded in Argentina a Data Science for Social Impact project. The initiative is called “Taller de Datos Populares” (Popular-data workshop). With this group we teach coding skills to low-income students from the university while working with Social Organizations that otherwise would not have access to a Data Analysis service. As a coordinator of this group, I have met with different representatives from social organizations, I have co-designed data analysis strategies, and have taught and led multiple meetings with students to approach the data analysis.

During my undergraduate training at the University of Buenos Aires I specialised in bioinformatics and molecular biology. During that time, I started my research developing an Arsenic Biosensor for drinking water as a part of an iGEM team. After that, I completed my undergrad thesis in systems biology. In both stages I gained experience in genetic manipulation methods in yeasts and bacteria and collecting and analyzing large amounts of data.

After graduation I successfully obtained a Marie Curie ITN scholarship. With this scholarship in 2017, I began my PhD at the Hebrew University of Jerusalem (HUJI). As part of the Marie Curie training grant, I spent 3 months in Germany at MDC Berlin where I strengthened my coding skills in Python and R. In 2018, my laboratory was transferred to Brandeis University, where I did the last years of my training and led bioinformatics data analysis for multiple projects.

As a PhD student I not only taught the required courses for my program but also designed the biostatistical and bioinformatics sections of a course in Genomics. During my journey I had the opportunity to lead the DEI focused group at my school (Diverse Brandeis Scholars) for the last 3 years and to advocate for underrepresented minorities, giving talks to various audiences outside of the Brandeis and scientific community.