● Testing and maintaining Sherlocks, labs, and challenges● Assist in the development of new content● Research to remain on top of current vulnerabilities, exploits, tools, tactics, andprocedures relevant to the target audience● Research to remain on top of defensive techniques and innovate new ways tochallenge and contribute to our players’ readiness on defensive techniques

• Developed and delivered interactive training courses on Python programming and its applications in data analysis• Designed and curated instructional materials to meet diverse learner needs• Guided students in writing programs, accessing tools, and automating analytical processes using Python• Emphasized the use of Python for data exploration, modeling, and analysis in a practical context.

- Instruct students on incident response strategies and assist in real-world response scenarios.- Teach forensic analysis techniques, including malware analysis and digital forensics.- Provide insights into attack vectors, threat tactics, and attacker techniques to enhance student understanding.- Contribute to the development and documentation of cybersecurity processes and best practices.- Guide students in assessing threat indicators within Windows Environments, identifying malware, and analyzing malicious anomalies.- Instruct students in the intricacies of Windows, Linux, and OSX operating systems to prepare them for diverse cybersecurity environments.- Introduce students to the ELK stack, including configuring dashboards, Logstash, and advanced searching for effective security data analysis.- Mentor students in scripting and programming languages such as Powershell, Python, and Go to equip them with essential technical skills.- Familiarize students with cloud security by introducing AWS services (e.g., EC2, S3, IAM) and Azure/M365 to prepare them for securing cloud environments.Cybersecurity Professional Program for University of Wisconsin-MadisonCybersecurity Professional Program for University of Colorado BoulderCybersecurity Professional Program for University of Central FloridaCybersecurity Professional Program for University of Miami

• Conducted proactive monitoring and investigation of security incidents using QRadar (SOAR), analyzing system logs, network traffic, and security events to identify and respond to potential threats promptly.• Developed and implemented scripts utilizing Python, PowerShell, and the QRadar API to automate various detection and reporting processes, significantly improving efficiency and accuracy in threat identification and response.• Leveraged the power of AI and data science techniques to enhance security operations, including the integration of machine learning algorithms for advanced threat detection and anomaly detection.• Collaborated with cross-functional teams to assess system vulnerabilities, perform risk assessments, and implement appropriate security controls and countermeasures.• Conducted in-depth analysis of security alerts, triaging and investigating incidents to determine the nature, scope, and impact of potential threats, and coordinating appropriate incident response actions.• Assisted in the development and implementation of security policies, procedures, and guidelines to ensure compliance with industry standards and regulations.• Produced comprehensive reports and documentation, detailing security incidents, analysis findings, and recommended mitigation measures for stakeholders and management.

Collected, cleaned, managed, and aggregated data from multiple research databases.Collaborated with research staff on processing MRI data and analysis methods utilizing tenets of graph theory to characterize network topology.Developed reports, charts, graphs, and tables for publication and presentations.