Our Modeling and Simulation team uses computational and predictive methods to provide insights, scientific evidence and recommendations for decision making during product lifecycles.

Aerosol Dynamics

We use comprehensive aerosol dynamics models to predict the nucleation, condensation and particle size distribution and aerosol mass delivery from an aerosol generator. The results from these models help us better understand the operation and behavior of aerosol-based platforms. 

Exposure

As we have developed product platforms in several potentially reduced-risk categories, we have also built a multitude of comprehensive computational models in collaboration with highly recognized subject matter experts in universities and research institutes. These models predict user and non-user exposure to ingredients in potentially reduced-risk products compared to cigarette smokers. We use an expanded version of Physiologically Based Pharmacokinetic (PBPK) model that we developed to estimate PK profiles.

Product Design and Development

Key to our work is developing and implementing first principle physiochemical-based computational methods and models to make recommendations to improve the performance and quality of our products.

Product Quality, Shelf Life and Performance

Shelf life is an important consideration for every packaged consumer product, including tobacco products. We use physics-based deterministic models to help predict product shelf life under different storage conditions, which ensures our product quality remains equivalent to fresh products and aligns with our product stewardship program.

Our Progress
Since 2015:

27

conference presentations

13

publications

Read a recently published article:
A distributed computational model for estimating room air level of constituents due to aerosol emission from e-vapor product use.

Read a recently published article:
Eulerian modeling of aerosol transport and deposition in respiratory tract under thermodynamic equilibrium condition. 

Ali Rostami Photo

Meet Ali Rostami

Ali A. Rostami, Ph.D., Fellow of the ASME, serves as Senior Principal Scientist and Director of Modeling and Simulation. Ali's scientific work focuses on the development and utilization of computational models for (1) improving manufacturing/business processes, scheduling and optimization, (2) performing innovative product design and performance analysis, (3) characterizing exposure and internal dose associated with product use and (4) data analytics and automated reporting.
1.  Altria has an agreement with PMI to sell IQOS products in the United States.
2.  Altria has a 35% economic interest in JUUL, the U.S. leader in e-vapor.