Christopher Prashad | Public Health | Best Researcher Award

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Dr. Christopher Prashad | Public Health | Best Researcher Award

York University, Canada

Author Profile đź“š

Orcid

🔍 Summary

Dr. Christopher Prashad is a PhD candidate in Mathematics and Statistics, specializing in Data Science for Public Health at York University. With a strong foundation in advanced quantitative research, including time series analysis, machine learning, stochastic simulation, and probabilistic programming, Dr. Prashad excels in transforming complex data into actionable insights. He has a proven track record of collaborating with academic and industry teams, effectively communicating technical concepts, and is eager to apply his skills in Data Science to drive meaningful decision-making.

🎓 Education

Dr. Prashad is currently pursuing his PhD in Mathematics and Statistics – Data Science for Public Health at York University (expected June 2025). He is also completing a MicroMasters in Finance from MIT Sloan School of Management (expected January 2025). He holds a Master’s degree in Mathematics and Statistics from York University and a Bachelor of Science in Mathematics and Chemistry from the University of Toronto.

đź’Ľ Professional Experience

Dr. Prashad has worked as a Mathematics for Public Health Researcher at York University–Sanofi Pasteur (2022–2024), where he collaborated with pharmaceutical companies and public health organizations to drive evidence-based policies and modeling initiatives. Prior to this, he worked as a Statistician at Western University (2014–2019), conducting longitudinal studies to assess the impact of STEM education programs. He has also served as a Course Director for Statistical Methods in Health Studies at York University (2018–2019), delivering lectures and tutorials while fostering student engagement in applied statistics.

đź“š Academic Projects & Presentations

Dr. Prashad has contributed to several notable academic projects, such as Multiperiod Forecasting of Epidemic Prevalence using machine learning to predict the spread of flu-like illnesses, and Stochastic Threshold Analysis for SIRS Model, where he applied advanced mathematical techniques to epidemic modeling. He also analyzed Indexed GIC Investment Products using stochastic volatility models, presenting his findings to industry leaders in finance.

đź’» Technical Skills

Dr. Prashad is proficient in a wide range of software and analytical tools, including Python, R, MATLAB, SQL, SPSS, and C. He specializes in Time Series Analysis, Stochastic Simulation, Machine Learning, Multivariate Statistics, and Probabilistic Programming, with expertise in Bayesian Methods, Optimization, and Data Visualization.

👩‍🏫 Teaching Experience

As a Course Director at York University, Dr. Prashad designed and delivered lectures on statistical methods in health studies, supported diverse student learning needs, and contributed to collaborative course design and student development.

🔬 Research Interests

Dr. Prashad’s research interests lie at the intersection of data-driven public health modeling, machine learning in healthcare, and mathematical epidemiology, with a particular focus on applying quantitative analysis to solve public health challenges.

 

đź“– Top Noted Publications

Stochastic Threshold Analysis for Mean-Reverting SIRS Model
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Journal of Theoretical Biology
    • Year: 2024
Problems and Solutions in Modern Finance, Financial Accounting, Mathematical Methods for Quantitative Finance, and Derivatives Markets
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Independent publication
    • Year: 2024
Assessing the Impact of Community Mobility on COVID-19 Dynamics
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: PLOS Computational Biology
    • Year: 2024
State-Space Modelling for Infectious Disease Surveillance Data: Stochastic Simulation Techniques and Structural Change Detection
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Journal of Infectious Disease Modelling, Primer Articles
    • Year: 2024
State-Space Modelling for Infectious Disease Surveillance Data: Dynamic Regression and Covariance Analysis
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Journal of Infectious Disease Modelling, Primer Articles
    • Year: 2024

farnaz shokraneh | personalized medicine | Best Researcher Award

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Ms. farnaz shokraneh | personalized medicine | Best Researcher Award

Abo Akademi University, Finland

👨‍🎓Professional Profile 

Orcid Profile

👩‍🔬 Summary

Ms. Farnaz Shokraneh is an experienced pharmaceutical professional currently working as a Doctoral Researcher in Pharmaceutical Development and Medical Technology at Ă…bo Akademi University in Turku, Finland. With a solid academic background and extensive practical experience in pharmaceutical quality assurance, regulatory compliance, and research, she brings valuable insights into the development of pharmaceutical products and systems. She is committed to advancing personalized medicine and improving quality control in the pharmaceutical industry.

🎓 Education

Ms. Shokraneh holds a Doctor of Pharmacy degree, equivalent to a Finnish Master’s, from Islamic Azad University, Tehran, Iran (2007-2012). She furthered her academic journey with a Master’s in Pharmaceutical Research from Freie Universität Berlin, Germany (2022-2024). Currently, she is pursuing her doctoral research in Pharmaceutical Development and Medical Technology at Åbo Akademi University, Turku, Finland (2022–present).

đź’Ľ Professional Experience

Ms. Shokraneh has accumulated extensive experience in various roles within the pharmaceutical industry. She is currently serving as a Quality Manager at CurifyLabs Oy in Helsinki, Finland, since September 2022. Previously, she held the position of Quality Assurance Manager at Mofid Pharma under the license of Bayer Pharmaceutical Company (Dec 2020–Dec 2021). Additionally, she has worked at Modava Pharmaceutical under Novartis (Jul 2018–Jul 2020) and ATI Pharmed Pharmaceutical Co under StragenPharma and CHEMO Pharmaceutical licenses (Apr 2013–Jun 2017).

🛠️ Technical Skills

Ms. Shokraneh’s technical expertise encompasses pharmaceutical development, quality assurance, and regulatory compliance. She is proficient in analytical techniques such as HPLC, mass spectrometry, and micro NIR spectrophotometry. Her experience also extends to pharmacovigilance, safety monitoring, and statistical analysis for pharmaceutical applications, making her highly skilled in ensuring the safety, efficacy, and quality of pharmaceutical products.

🧑‍🏫 Teaching Experience

Although Ms. Shokraneh’s current focus is on research and industry roles, her vast knowledge and experience in the pharmaceutical field allow her to effectively mentor teams and share her expertise. She has contributed to the professional development of her colleagues and participated in educational training programs within the pharmaceutical sector.

🔬 Research Interests

Ms. Shokraneh’s primary research interests lie in pharmaceutical development and medical technology, with a particular focus on personalized medicine. She is passionate about improving drug safety and efficacy through innovations in automated pharmacy compounding, quality control, and exploring new methods for drug delivery and patient-specific treatment plans.

 

đź“–Top Noted Publications

Automated Non-Sterile Pharmacy Compounding: A Multi-Site Study in European Hospital and Community Pharmacies with Pediatric Immediate Release Propranolol Hydrochloride Tablets

Authors: Niklas Sandler Topelius, Farnaz Shokraneh, Mahsa Bahman, Julius Lahtinen, Niko Hassinen, Sari Airaksinen, Soumya Verma, Ludmila Hrizanovska, Jana Lass, Urve Paaver et al.

Journal: Pharmaceutics

Year: 2024

A Novel High Performance Liquid Chromatographic Method for Determination of Nystatin in Pharmaceutical Formulations by Box–Behnken Statistical Experiment Design

Authors: Farnaz Shokraneh

Journal: Iranian Journal of Pharmaceutical Research

Year: 2014

Comparative Studies of Cytotoxic Manufacturing Practices in Specialized Cancer Centers Against International Guidelines (ASHP, OSHA, HSE-UK)

Authors: Farnaz Shokraneh

Journal: FIP Congress

Year: 2012

Development and Validation of High-Performance Liquid Chromatography for Determination of Nystatin in Pharmaceutical Formulations

Authors: Farnaz Shokraneh

Journal: Research in Pharmaceutical Science

Year: 2012

A New HPLC Method for Determination of Losartan in Human Plasma and Its Application in Bioequivalence Studies

Authors: Farnaz Shokraneh

Journal: Oriental Journal of Chemistry

Year: 2012

Risks to Health Professionals from Hazardous Drugs in Iran: A Pilot Study of Understanding of Healthcare Team to Occupational Exposure to Cytotoxics

Authors: Farnaz Shokraneh

Journal: EXCLI Journal

Year: 2005