I am currently a PhD candidate at Purdue University, specializing in Digital Forensics and Data Science. My research focuses on leveraging AI to uncover criminal behavior patterns, with a particular emphasis on using machine learning (ML) and Natural Language Processing (NLP) to generate actionable crime insights for law enforcement investigations.

After more than nine years working as a forensic scientist in Brazil, I observed that many criminals carefully plan their offenses, revealing patterns in their behavior known as Modus Operandi (MO). Despite advancements in AI, identifying these patterns often still relies heavily on manual investigative work. I am deeply interested in how recent technological breakthroughs, particularly large language models (LLMs), can help analyze complex criminal data and enhance investigative efforts. My research spans both physical and cyber crimes, and I am also interested in exploring the ethical implications of applying ML and LLMs within the criminal justice system.

Just as significant advancements in healthcare have emerged through strong collaborations between academics and practitioners, I believe the criminal justice field will experience similar progress over the next 5-10 years. Crimes (especially cyber crime) are becoming increasingly complex, requiring interdisciplinary and innovative solutions to effectively address and combat them.

Collaboration from all backgrounds are welcome. Please reach out if you are intereseted in these or related topics.