My topics of interest span several fields including machine learning, data analytics, databases and statistics. My current research interests are sequence models for text and time-series, domain adaptation, effective human intervention in learning, graphical models and structured learning.

Your interests are quite diverse and cover a wide range of fields. It's great to see that you're interested in both machine learning and data analytics, as these are two areas that are becoming increasingly important in today's data-driven world.

In terms of your current research interests, sequence models for text and time-series are a fascinating area of study. These models can be used to predict future events based on past data, which can be incredibly useful in a variety of fields.

Domain adaptation is another interesting area of research. This involves adapting a model that was trained on one domain to work on a different domain. This can be a challenging task, but it's an important one in the field of machine learning.

Effective human intervention in learning is a topic that has gained a lot of attention in recent years. This involves finding ways to make machine learning models more interpretable and understandable to humans, which can help to improve their effectiveness and usability.

Graphical models and structured learning are also important areas of study. Graphical models can be used to represent complex systems and structured learning can help to make sense of these systems.

Overall, your interests are quite broad and cover a lot of important areas in the field of machine learning and data analytics. It's great to see that you're interested in these topics and I'm sure you'll be able to make a significant contribution to these fields.