I am an interdisciplinary applied mathematician and modeller with a unique specialisation in Data Assisted Stochastic Mathematics and Modelling, tailored for Business Analytics over a wide arch of applications.  DASMM is a unique interface that repurposes techniques from stochastic mathematics and statistical modelling to extract hidden stochastic signals and embedded patterns and nonlinearities that characterise data associated with processes and businesses. DASMM analyses human-centric problems, like inequality index analysis, supply chain management, cardiovascular risk validation, and also in low carbon & e-waste management. My domain-hogging expertise thus lies in the holistic association of Computational Life Sciences and Econometrics, targeting Human-centric applications, together with application-oriented Discrete & Probabilistic Mathematics, delivering in three key domains – Artificial Intelligence guided epidemiological biology & bioinformatics, econometrics & supply chains, and non-equilibrium systems. I collaborate through an extensive interdisciplinary network of scientific leaders based in the UK, Europe, India, and the US, successfully combining physics, mathematics, and computer science to solve real-life research problems in healthcare, epidemiology, low carbon, smart materials, and soft matter.

My research domain is structured under three topical remits:

1. Computational Biology & Biostatistics
   1. Healthy Ageing - Cardiovascular health Modelling
   2. Epidemiology - Infection Kinetics
   3. Bioinformatics – Proteomic/Genomic Sequencing & Drug Repurposing
2. Nonequilibrium Systems and Soft Condensed Matter
   1. Materials – Nanocomposite materials’ modelling
   2. Alternative Energy – Biogas modelling
   3. Liquid Crystals – Stochastic modelling

3. Social Sciences

1. 1. Developmental econometrics – Inequality dynamics
   2. Behavioural Network – Opinion Dynamics in criminality and voting
   3. Supply chain modelling –Electronic Waste & Low Carbon Networks

Soft matter and statistical physics have always been my technical bedrocks. New methodologies combining stochastic mathematics, statistical physics and Artificial Intelligence guided data mining will deliver toolboxes that will be subjectively targeted to analyse and solve problems in other fields of complex systems, often in an application oriented approach.

Presently teaching four undergraduate modules:

• Vector Algebra & Geometry and
• Financial Mathematics
• Portfolio Analysis
• Mathematical Modelling for Engineers

and (formerly) a postgraduate (MSc by Research) module:

• Stochastic and Nonlinear Dynamical Systems

• August 2017 – Present: Aston University, Reader in Mathematics
• August 2015 – July 2017: Aston University, Senior lecturer of Mathematics
• February 2010 – July 2015: Aston University, UK; Lecturer of Mathematics
• November 2007 – January 2010: University of Delhi, India; Reader of Physics
• July 2007 – June 2011: Research Associate at the School of Physics, University of Edinburgh, UK; topic: complex systems & econometrics

Phone number: +44 (0)121 204 3500
Email: [email protected]
Room number: MB 313L