?angelavasishta

11/26 – present | mclean, va ( hybrid )

08/21 – 07/23, 08/24 – 07/26 | 40 hrs / wk | columbia, mo ( on-site )

1. complex systems engineering: developed and executed dynamic agent-based models in r, translating open-ended socio-cultural questions into rigorous computational frameworks. integrated game (nash demand game) and graph theory (erdős–rényi algorithms) to simulate complex behavioral systems.

2. cognitive agentic-ai: experimentally upgraded agents to be driven by llm-based theory of mind logic in python. utilized dynamic internal debate algorithms to simulate complex cognitive and social reasoning.

3. algorithmic modeling: engineered algorithms, including shortest-path exponential decay functions, to map signal propagation across 700m+ agent interaction decisions. evaluated critical norm tipping points.

4. intervention evaluation: assessed systemic countermeasures (e.g., top-down incentives vs. collective compliance) via simulated networks, empirically evaluating interventions to prove that untested policies could inadvertently exacerbate structural vulnerabilities if deployed without rigorous computational testing.

5. actionable translation: synthesized complex network dynamics and analyses into intuitive, actionable visualizations using ggplot2 and matplotlib. effectively translated complex algorithmic models into practical, accessible, and actionable insights for non-technical audiences and interdisciplinary academics.

08/23 – 07/24 | 20 hrs / wk | columbia, mo ( on-site )

1. behavioral dynamics & modeling: developed and executed reproducible, multi-agent computational pipelines in r. simulated the co-evolution of dynamic human behaviors across 37,500+ temporal cycles.

2. advanced data analysis: established complex data pipelines to process millions of synthetic data points. generated causal intuition on how differential interaction rates structurally forced vulnerable network populations into disadvantageous arrangements.

3. strategic policy evaluation: evaluated proposed mitigative structural countermeasures in simulated environments. designed intuitive visualizations utilizing r markdown and ggplot2 to communicate complex analytical results to non-technical grant cohorts and interdisciplinary researchers.

08/20 – 05/21 | 30 hrs / wk | williamsburg, va ( on-site )

1. analytic tools modernization: modernized analytical capabilities by translating static, excel-based theoretical frameworks into dynamic, multi-agent discrete event simulations in netlogo. utilized proportional resource exchanges, probabilistic crisis variables, and dynamic interaction tracking.

2. large-scale data analysis: examined competing socio-ecological hypotheses to evaluate optimal risk-mitigation and resource acquisition strategies during simulated economic and environmental crises. analyzed 1.5m+ stochastic model iterations to quantify the efficacy of varying network topologies and relational mobility parameters on stabilizing highly volatile environments.

06/20 – 07/20 | 30 hrs / wk | samos, greece ( remote )

1. spatiotemporal data analysis: adapted agent-based models in netlogo to simulate dynamic ecological systems. manipulated exposure variables (e.g., timing, volume, location of threat introduction) across multi-generational simulations to examine impact of threats and forecast ecological tipping points.

2. data integration: processed unstructured empirical video datasets to establish baseline behavioral metrics, grounding theoretical simulations in real-world data to evaluate threat mitigation strategies.