3. Data, Science & AI

Generates and optimizes few-shot examples to enhance large language model (LLM) performance across diverse tasks.

Fast and accurate transcript quantification for RNA-seq data using salmon pseudo-alignment.

Automates the search for counterexamples to mathematical conjectures, aiding in mathematical research and verification.

Automates data quality assessment by profiling assets, detecting anomalies, and generating actionable reports for data governance.

Monitors and analyzes macroeconomic indicators, identifying trends and providing forecasts using statistical methods.

Calculates green chemistry metrics including atom economy, E-factor, and process mass intensity for chemical process evaluation.

Automates collection, calculation, and reporting of healthcare quality metrics including HEDIS and patient safety indicators.

Enables formal theorem verification using Lean 4 proof assistant for mathematical and logical proofs.

Compares database schemas across environments to identify differences for safe and efficient migration planning.

Constructs and infers Bayesian networks for probabilistic reasoning, causal analysis, and belief updating in AI-driven decision systems.

Calculates optimal sample size for statistical experiments using power analysis to ensure valid results and adequate statistical power.

Simulates complex adaptive systems using heterogeneous agents, enabling research in social dynamics, biology, and economics through agent-based modeling.

Performs PROMETHEE multi-criteria decision analysis to rank alternatives based on multiple weighted criteria.

Trains reinforcement learning models for robot control in simulation, enabling seamless transfer to real-world robotic systems.

Performs complex trajectory calculations and mission design analysis for space missions using computational physics and orbital mechanics.

Validates data warehouse dimensional models against Kimball methodology standards to ensure best practices in design and structure.

Microsimulation tool for traffic flow analysis, level of service assessment, and traffic signal optimization in transportation engineering.

Sets up and analyzes crash simulations to evaluate occupant protection and ensure vehicle safety regulatory compliance.

Generates statistical process control charts, calculates control limits, and detects special causes for quality improvement in manufacturing or business processes.

Provides local model explanations for individual predictions using LIME across tabular, text, and image data types.

Executes Monte Carlo simulations for financial risk quantification using probability distributions to model uncertainty in investment scenarios.

Computational analysis of reactive chemical hazards including thermal stability, incompatibility, and runaway reaction risks.

Selects appropriate statistical tests based on data type, distribution, and analysis goals.

Applies causal inference methods including propensity scores, instrumental variables, and difference-in-differences for data-driven causal analysis.