STOCHASTIC LOGIC - Key Persons
Job Titles:
- Quantitative Software Developer
Abdullah Al Mahmud
Quantitative Software developer
He is an expert at algorithms, problem solving and development.
Presently he is working as a VISITING ACADEMIC FELLOW in International Islamic University of Malaysia.
Job Titles:
- Quantitative Software Developer
He is an expert on algorithms and data analysis. He has worked on developing a Complexity Management Software for efficient visualization of data by creating directed graph of keywords from a text document. He is passionate about problem solving and setting problems in programming contests and informatics olympiads.
He is currently pursuing PhD in Computer Science in Iowa State University.
Job Titles:
- Quantitative Software Developer
Rupam Mahmood developed the web modules providing quantitative financial solutions for Stochastic logic.
He is a reinforcement learning researcher with primary research interest in developing general-purpose artificial minds. His PhD thesis supervisor is Prof. Richard Sutton, the pioneer of reinforcement learning research.
Job Titles:
- Quantitative Software Developer
She is an undergraduate student in the department of Computer Science & Engineering of Bangladesh University of Engineering & Technology. Her primary interest is in Data mining and Social Network Analysis. She is doing her thesis on "Relaxed Synchronization for Approximate Computing".
In 2013 she along with her team won the "National Championship of Microsoft Imaging Cup, 2013 and competed in the final at Russia.
He is specialized in nonstationary time series.
His thesis advisor, Dimitris Politis is a renowned time series analyst and specializes in computer intensive statistical methods.
Job Titles:
- Quantitative Software Developer
His areas of interests are Data Visualization, Text Mining, Machine Learning and Human Computer Interaction. He is an expert programmer on several language i.e. C, C++, C#, Java, Matlab, R, SQL, GoogleVis, PHP etc. Currently, he is developing software which is incorporating the idea of text mining, machine learning and data visualization. He also conducted study on Credit Derivative Swap.
He is interested in interest rate modeling. He is specialized in LIBOR market model, BGM, HJM and different type of interest rate model. He has also gained expertise on pricing different type of option, portfolio optimization, and hedging and risk management analytics. As a computer science graduate, he is interested in algorithmic trading and applying different type of machine learning and data mining techniques in finance to make market more efficient. He is going to pursue his PhD in computer science in Stony Brook University from Fall 2010.
His specialization was in Modeling Financial Time Series: 1) Fitting linear and non-linear models on Time Series data to estimate future values. 2) Determining future values by eliminating known patterns and fitting ACD. Also, identifying lead-lag relationship by measuring cross-correlation between two different Time Series. He also worked on the modules available online. Reaz is currently pursuing PhD in Computer Science & Eng. at UCR. He is working on spatio-temporal data.
Job Titles:
- Quantitative Software Developer
His primary interest is in Data Mining and Machine Learning. He has worked in a couple of Social Network Analysis projects. Tamzeed participated in the Microsoft Imagine Cup, 2013 and became champion in the national final round.
He is currently in level four (4) terms one (1) student in BUET (Bangladesh University of Engineering and Technology) at CSE department.
Job Titles:
- Quantitative Software Developer
He was one of the pioneers of SL. He was involved in many software projects of SL. His specialization was in statistical models and analysis.
Job Titles:
- Quantitative Software Developer
He is adept at Interest Rate Modeling, Option Pricing and Volatility Surface modeling. He is proficient in several programming languages and Data-mining, inventive in building mathematical models with the utility of those.
He also holds interest in nano-scale device modeling, VLSI, Carbon nanotechnology.
Job Titles:
- Quantitative Software Developer
He worked in time series modelling and regime switch detection.
He is a Ph.D. student in University of California, San Diego. His research area is energy efficient computer archictecture.
Job Titles:
- Quantitative Software Developer
Rukhsana Yeasmin
Quantitative Software developer
Her areas of interests are Financial Analysis, Bioinformatics and Computational Biology, Data Mining and Machine Learning. She has conducted study on various fields including Credit Derivatives Modeling, Options Pricing, Trend Analysis, Interest Rate Modeling, Time Series Analysis and Portfolio Analysis. She worked on implementation of various Machine Learning Techniques.
Rukhsana is going to seek her PhD degree in Computer Science from the State University of Newyork, Stony Brook.
Job Titles:
- Quantitative Software Developer
He has descent grasp in mathematical modeling of derivative pricing. He has worked on high frequency trading technology, has knowledge on data-mining and machine learning. He is proficient in modeling and simulation in MATLAB. His research interest includes Machine Learning, Data Mining and Human Computer Interaction.
Ferdous has descent knowledge on structural programming and object oriented programming. He is currently pursuing PhD at Purdue University.
Job Titles:
- Quantitative Software Developer
Saikat has firm grasp on mathematical modeling and optimization. He is particularly interested in Machine Learning and Information retrieval, and application of these. His motivation to attain tenacity on work topics drives him forward.
He possesses a good programming skill on MATLAB, Java, C++. He is also well acquainted with the modern software engineering tools and techniques like version controlling, agile software development , dependency inversion principle.
Job Titles:
- Quantitative Software Developer
He was one of the first few recruits of SL. Saikat involved in quite a few software projects at SL. His specialization was in developing applications for option-pricing, and generating yield-curve. He was one of the pioneers of SL.
Saikat is currently pursuing MS in Computer Science at Oregon State University, OR, USA. He is interested in Machine Learning, Software Development and Engineering.
Job Titles:
- Quantitative Software Developer
He is specialized in Credit Derivatives. His expertise lies in Default Modeling, Recovery Modeling and Derivatives Pricing. He is now concentrating on the application of Copula Methods in finance. With his Computer Science background his area of interest covers various data mining algorithms and analysis of financial time series.
Job Titles:
- Quantitative Software Developer
He has specialization in Calibration techniques. He is an expert in the field of Volatility Modelling, Hedging, Data Mining Techniques.He is skilled in many programming languages. His research interest includes bioinformatics, artificial intelligence and machine learning.
Job Titles:
- Quantitative Software Developer
Tamjid is primarily interested in large scale Machine Learning. He has worked in several projects on Statistical Machine Learning and Natural Language Processing. He is skilled in Python, Java and C++. He also possesses a good skill in Tensorflow, a well known Machine Learning framework.
Tamjid has completed his graduation from CSE department of BUET in 2016.